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1. Diagnosing destabilization risk in global land carbon sinks

Author

Fernández-Martínez, Marcos, Peñuelas, Josep, Chevallier, Frederic, Ciais, Philippe, Obersteiner, Michael, Rödenbeck, Christian, Sardans, Jordi, Vicca, Sara, Yang, Hui, Sitch, Stephen, Friedlingstein, Pierre, Arora, Vivek K., Goll, Daniel S., Jain, Atul K., Lombardozzi, Danica L., McGuire, Patrick C., and Janssens, Ivan A.

Published
2023
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4. Process-oriented analysis of dominant sources of uncertainty in the land carbon sink

Author

O’Sullivan, Michael, Friedlingstein, Pierre, Sitch, Stephen, Anthoni, Peter, Arneth, Almut, Arora, Vivek K., Bastrikov, Vladislav, Delire, Christine, Goll, Daniel S., Jain, Atul, Kato, Etsushi, Kennedy, Daniel, Knauer, Jürgen, Lienert, Sebastian, Lombardozzi, Danica, McGuire, Patrick C., Melton, Joe R., Nabel, Julia E. M. S., Pongratz, Julia, Poulter, Benjamin, Séférian, Roland, Tian, Hanqin, Vuichard, Nicolas, Walker, Anthony P., Yuan, Wenping, Yue, Xu, and Zaehle, Sönke

Published
2022
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6. River flow in the near future: a global perspective in the context of a high-emission climate change scenario.

Author

Müller, Omar V., McGuire, Patrick C., Vidale, Pier Luigi, and Hawkins, Ed

Subjects
CLIMATE change models, CLIMATE change, HYDROLOGIC cycle, GLOBAL warming, WATER supply, STREAMFLOW
Abstract

There is high confidence that global warming intensifies all components of the global water cycle. This work investigates the possible effects of global warming on river flows worldwide in the coming decades. We conducted 18 global hydrological simulations to assess how river flows are projected to change in the near future (2015–2050) compared to the recent past (1950–2014). The simulations are forced by runoff from the High Resolution Model Intercomparison Project (HighResMIP) CMIP6 global climate models (GCMs), which assume a high-emission scenario for the projections. The assessment includes estimating the signal-to-noise (S/N) ratio and the time of emergence (ToE) of all the rivers in the world. Consistently with the water cycle intensification, the hydrological simulations project a clear positive global river discharge trend from ∼2000 that emerges beyond the levels of natural variability and becomes "unfamiliar" by 2017 and "unusual" by 2033. Simulations agree that the climate change signal is dominated by strong increases in the flows of rivers originating in central Africa and South Asia and those discharging into the Arctic Ocean, partially compensated for by the reduced flow projected for Patagonian rivers. The potential implications of such changes may include more frequent floods in central African and South Asian rivers, driven by the projected magnification of the annual cycles with unprecedented peaks, a freshening of the Arctic Ocean from extra freshwater release, and limited water availability in Patagonia given the projected drier conditions of its rivers. This underscores the critical need for a paradigm shift in prioritizing water-related concerns amidst the challenges of global warming. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Data from Signaling Pathway Alterations Driven by BRCA1 and BRCA2 Germline Mutations are Sufficient to Initiate Breast Tumorigenesis by the PIK3CAH1047R Oncogene

Author

Bhat-Nakshatri, Poornima, primary, Khatpe, Aditi S., primary, Chen, Duojiao, primary, Batic, Katie, primary, Mang, Henry, primary, Herodotou, Christopher, primary, McGuire, Patrick C., primary, Xuei, Xiaoling, primary, Erdogan, Cihat, primary, Gao, Hongyu, primary, Liu, Yunlong, primary, Sandusky, George, primary, Storniolo, Anna Maria, primary, and Nakshatri, Harikrishna, primary

Published
2024
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8. Signaling Pathway Alterations Driven by BRCA1 and BRCA2 Germline Mutations are Sufficient to Initiate Breast Tumorigenesis by the PIK3CAH1047R Oncogene

Author

Bhat-Nakshatri, Poornima, primary, Khatpe, Aditi S, additional, Chen, Duojiao, additional, Batic, Katie, additional, Mang, Henry, additional, Herodotou, Christopher, additional, McGuire, Patrick C, additional, Xuei, Xiaoling, additional, Erdogan, Cihat, additional, Gao, Hongyu, additional, Liu, Yunlong, additional, Sandusky, George E., additional, Storniolo, Anna Maria, additional, and Nakshatri, Harikrishna, additional

Published
2023
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9. Global Carbon Budget 2023

Author

Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Landschützer, Peter, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Decharme, Bertrand, additional, Bopp, Laurent, additional, Brasika, Ida Bagus Mandhara, additional, Cadule, Patricia, additional, Chamberlain, Matthew A., additional, Chandra, Naveen, additional, Chau, Thi-Tuyet-Trang, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Dou, Xinyu, additional, Enyo, Kazutaka, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Feng, Liang, additional, Ford, Daniel J., additional, Gasser, Thomas, additional, Ghattas, Josefine, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Heinke, Jens, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jacobson, Andrew R., additional, Jain, Atul, additional, Jarníková, Tereza, additional, Jersild, Annika, additional, Jiang, Fei, additional, Jin, Zhe, additional, Joos, Fortunat, additional, Kato, Etsushi, additional, Keeling, Ralph F., additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Lan, Xin, additional, Lefèvre, Nathalie, additional, Li, Hongmei, additional, Liu, Junjie, additional, Liu, Zhiqiang, additional, Ma, Lei, additional, Marland, Greg, additional, Mayot, Nicolas, additional, McGuire, Patrick C., additional, McKinley, Galen A., additional, Meyer, Gesa, additional, Morgan, Eric J., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paulsen, Melf, additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Powis, Carter M., additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Smallman, T. Luke, additional, Smith, Stephen M., additional, Sospedra-Alfonso, Reinel, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, van Ooijen, Erik, additional, Wanninkhof, Rik, additional, Watanabe, Michio, additional, Wimart-Rousseau, Cathy, additional, Yang, Dongxu, additional, Yang, Xiaojuan, additional, Yuan, Wenping, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional

Published
2023
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10. CRISM south polar mapping: First Mars year of observations

Author

Brown, Adrian J., Calvin, Wendy M., McGuire, Patrick C., and Murchie, Scott L.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

We report on mapping of the south polar region of Mars using data from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) instrument. Our observations have led to the following discoveries: 1. Water ice is present in the form of pole-circling clouds originating from the circum-Hellas region, beginning prior to Ls=162 and diminishing markedly at Ls=200-204. 2. It has previously been inferred by temperature measurements(Titus et al., 2003) and CO2-H2O mixture spectral models (Langevin et al., 2007) that surface water ice was present in the Cryptic Region in the final stages of sublimation. The high resolution of CRISM has revealed regions where only water ice is present (not a CO2-H2O ice mixture). This water ice disappears completely by Ls=252 and may be the source of water vapor observed by CRISM in southern latitudes between Ls=240-260 (Smith, et al., this issue). 3. We have estimated surface CO2 ice grain size distributions for the South Pole Residual Cap (SPRC) and the seasonal CO2 ice cap that covers it throughout summer spring and summer. Our analysis suggests that grain sizes peak at Ls=191-199 with an apparent grain size of ~7 +/-1 cm. By the end of the summer period our analysis demonstrates minimum apparent grain sizes of ~5 +/-1 mm predominate in the SPRC. 4. Fine grained CO2 ice condenses from Ls=0-40, and extends symmetrically away from the geographic pole, extending beyond 80 deg S by Ls=4-10. No evidence for unusual CO2 depositional processes in the Cryptic Region is observed up to Ls=16., Comment: 31 pages, 8 figures, 1 table

Published
2014
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13. An improvement to the volcano-scan algorithm for atmospheric correction of CRISM and OMEGA spectral data

Author

McGuire, Patrick C., Bishop, Janice L., Brown, Adrian J., Fraeman, Abigail A., Marzo, Giuseppe A., Morgan, M. Frank, Murchie, Scott L., Mustard, John F., Parente, Mario, Pelkey, Shannon M., Roush, Ted L., Seelos, Frank P., Smith, Michael D., Wendt, Lorenz, and Wolff, Michael J.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The observations of Mars by the CRISM and OMEGA hyperspectral imaging spectrometers require correction for photometric, atmospheric and thermal effects prior to the interpretation of possible mineralogical features in the spectra. Here, we report on a simple, yet non-trivial, adaptation to the commonly-used volcano-scan correction technique for atmospheric CO_2, which allows for the improved detection of minerals with intrinsic absorption bands at wavelengths between 1.9-2.1 $\mu$m. This volcano-scan technique removes the absorption bands of CO_2 by ensuring that the Lambert albedo is the same at two wavelengths: 1.890 $\mu$m and 2.011 $\mu$m, with the first wavelength outside the CO_2 gas bands and the second wavelength deep inside the CO_2 gas bands. Our adaptation to the volcano-scan technique moves the first wavelength from 1.890 $\mu$m to be instead within the gas bands at 1.980 $\mu$m, and for CRISM data, our adaptation shifts the second wavelength slightly, to 2.007 $\mu$m. We also report on our efforts to account for a slight ~0.001 $\mu$m shift in wavelengths due to thermal effects in the CRISM instrument., Comment: 17 pages, 6 figures, accepted for publication in 'Planetary and Space Science'

Published
2009
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14. Supplementary material to "Global Carbon Budget 2023"

Author

Friedlingstein, Pierre, primary, O'Sullivan, Michael, additional, Jones, Matthew W., additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Landschützer, Peter, additional, Le Quéré, Corinne, additional, Luijkx, Ingrid T., additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Schwingshackl, Clemens, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Robert B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Decharme, Bertrand, additional, Bopp, Laurent, additional, Brasika, Ida Bagus Mandhara, additional, Cadule, Patricia, additional, Chamberlain, Matthew A., additional, Chandra, Naveen, additional, Chau, Thi-Tuyet-Trang, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Dou, Xinyu, additional, Enyo, Kazutaka, additional, Evans, Wiley, additional, Falk, Stefanie, additional, Feely, Richard A., additional, Feng, Liang, additional, Ford, Daniel. J., additional, Gasser, Thomas, additional, Ghattas, Josefine, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Hefner, Matthew, additional, Heinke, Jens, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Jacobson, Andrew R., additional, Jain, Atul, additional, Jarníková, Tereza, additional, Jersild, Annika, additional, Jiang, Fei, additional, Jin, Zhe, additional, Joos, Fortunat, additional, Kato, Etsushi, additional, Keeling, Ralph F., additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Lan, Xin, additional, Lefèvre, Nathalie, additional, Li, Hongmei, additional, Liu, Junjie, additional, Liu, Zhiqiang, additional, Ma, Lei, additional, Marland, Greg, additional, Mayot, Nicolas, additional, McGuire, Patrick C., additional, McKinley, Galen A., additional, Meyer, Gesa, additional, Morgan, Eric J., additional, Munro, David R., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paulsen, Melf E., additional, Pierrot, Denis, additional, Pocock, Katie, additional, Poulter, Benjamin, additional, Powis, Carter M., additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Séférian, Roland, additional, Smallman, T. Luke, additional, Smith, Stephen M., additional, Sospedra-Alfonso, Reinel, additional, Sun, Qing, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Takao, Shintaro, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tsujino, Hiroyuki, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, van Ooijen, Erik, additional, Wanninkhof, Rik, additional, Watanabe, Michio, additional, Wimart-Rousseau, Cathy, additional, Yang, Dongxu, additional, Yang, Xiaojuan, additional, Yuan, Wenping, additional, Yue, Xu, additional, Zaehle, Sönke, additional, Zeng, Jiye, additional, and Zheng, Bo, additional

Published
2023
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15. Single nuclei chromatin accessibility and transcriptomic map of breast tissues of women of diverse genetic ancestry

Author

Bhat-Nakshatri, Poornima, primary, Gao, Hongyu, additional, Khatpe, Aditi S, additional, McGuire, Patrick C, additional, Erdogan, Cihat, additional, Chen, Duojiao, additional, Jiang, Guanglong, additional, New, Felicia, additional, German, Rana, additional, Storniolo, Anna Maria, additional, Liu, Yunlong, additional, and Nakshatri, Harikrishna, additional

Published
2023
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16. The Cyborg Astrobiologist: Porting from a wearable computer to the Astrobiology Phone-cam

Author

Bartolo, Alexandra, McGuire, Patrick C., Camilleri, Kenneth P., Spiteri, Christopher, Borg, Jonathan C., Farrugia, Philip J., Ormo, Jens, Gomez-Elvira, Javier, Rodriguez-Manfredi, Jose Antonio, Diaz-Martinez, Enrique, Ritter, Helge, Haschke, Robert, Oesker, Markus, and Ontrup, Joerg

Subjects
Computer Science - Computer Vision and Pattern Recognition, Astrophysics, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Human-Computer Interaction, Computer Science - Networking and Internet Architecture, Computer Science - Robotics, Computer Science - Software Engineering
Abstract

We have used a simple camera phone to significantly improve an `exploration system' for astrobiology and geology. This camera phone will make it much easier to develop and test computer-vision algorithms for future planetary exploration. We envision that the `Astrobiology Phone-cam' exploration system can be fruitfully used in other problem domains as well., Comment: 15 pages, 4 figures, accepted for publication in the International Journal of Astrobiology

Published
2007
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17. Constraints on the Interactions between Dark Matter and Baryons from the X-ray Quantum Calorimetry Experiment

Author

Erickcek, Adrienne L., Steinhardt, Paul J., McCammon, Dan, and McGuire, Patrick C.

Subjects
Astrophysics
Abstract

Although the rocket-based X-ray Quantum Calorimetry (XQC) experiment was designed for X-ray spectroscopy, the minimal shielding of its calorimeters, its low atmospheric overburden, and its low-threshold detectors make it among the most sensitive instruments for detecting or constraining strong interactions between dark matter particles and baryons. We use Monte Carlo simulations to obtain the precise limits the XQC experiment places on spin-independent interactions between dark matter and baryons, improving upon earlier analytical estimates. We find that the XQC experiment rules out a wide range of nucleon-scattering cross sections centered around one barn for dark matter particles with masses between 0.01 and 10^5 GeV. Our analysis also provides new constraints on cases where only a fraction of the dark matter strongly interacts with baryons., Comment: 15 pages, 9 figures. Extended discussion of methodology, to appear in PRD

Published
2007
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18. Field geology with a wearable computer: 1st results of the Cyborg Astrobiologist System

Author

McGuire, Patrick C., Gomez-Elvira, Javier, Rodriguez-Manfredi, Jose Antonio, Sebastian-Martinez, Eduardo, Ormo, Jens, Diaz-Martinez, Enrique, Oesker, Markus, Haschke, Robert, Ontrup, Joerg, and Ritter, Helge

Subjects
Computer Science - Computer Vision and Pattern Recognition, Astrophysics, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Human-Computer Interaction, Computer Science - Robotics
Abstract

We present results from the first geological field tests of the `Cyborg Astrobiologist', which is a wearable computer and video camcorder system that we are using to test and train a computer-vision system towards having some of the autonomous decision-making capabilities of a field-geologist. The Cyborg Astrobiologist platform has thus far been used for testing and development of these algorithms and systems: robotic acquisition of quasi-mosaics of images, real-time image segmentation, and real-time determination of interesting points in the image mosaics. This work is more of a test of the whole system, rather than of any one part of the system. However, beyond the concept of the system itself, the uncommon map (despite its simplicity) is the main innovative part of the system. The uncommon map helps to determine interest-points in a context-free manner. Overall, the hardware and software systems function reliably, and the computer-vision algorithms are adequate for the first field tests. In addition to the proof-of-concept aspect of these field tests, the main result of these field tests is the enumeration of those issues that we can improve in the future, including: dealing with structural shadow and microtexture, and also, controlling the camera's zoom lens in an intelligent manner. Nonetheless, despite these and other technical inadequacies, this Cyborg Astrobiologist system, consisting of a camera-equipped wearable-computer and its computer-vision algorithms, has demonstrated its ability of finding genuinely interesting points in real-time in the geological scenery, and then gathering more information about these interest points in an automated manner. We use these capabilities for autonomous guidance towards geological points-of-interest., Comment: accepted by ICINCO 2005, 2nd International Conference on Informatics in Control, Automation and Robotics, 14-17 September 2005, Barcelona, Spain. 9 pages, 7 figures

Published
2005

19. The Cyborg Astrobiologist: Scouting Red Beds for Uncommon Features with Geological Significance

Author

McGuire, Patrick C., Diaz-Martinez, Enrique, Ormo, Jens, Gomez-Elvira, Javier, Rodriguez-Manfredi, Jose A., Sebastian-Martinez, Eduardo, Ritter, Helge, Haschke, Robert, Oesker, Markus, and Ontrup, Joerg

Subjects
Computer Science - Computer Vision and Pattern Recognition, Astrophysics, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Human-Computer Interaction, Computer Science - Robotics, Computer Science - Software Engineering, Physics - Instrumentation and Detectors, Quantitative Biology - Neurons and Cognition, I.2.10, I.4.6, I.4.8, I.4.9, I.2.9, I.5.4, I.5.5, J.2, J.3, D.2, D.1.7, D.4.7
Abstract

The `Cyborg Astrobiologist' (CA) has undergone a second geological field trial, at a red sandstone site in northern Guadalajara, Spain, near Riba de Santiuste. The Cyborg Astrobiologist is a wearable computer and video camera system that has demonstrated a capability to find uncommon interest points in geological imagery in real-time in the field. The first (of three) geological structures that we studied was an outcrop of nearly homogeneous sandstone, which exhibits oxidized-iron impurities in red and and an absence of these iron impurities in white. The white areas in these ``red beds'' have turned white because the iron has been removed by chemical reduction, perhaps by a biological agent. The computer vision system found in one instance several (iron-free) white spots to be uncommon and therefore interesting, as well as several small and dark nodules. The second geological structure contained white, textured mineral deposits on the surface of the sandstone, which were found by the CA to be interesting. The third geological structure was a 50 cm thick paleosol layer, with fossilized root structures of some plants, which were found by the CA to be interesting. A quasi-blind comparison of the Cyborg Astrobiologist's interest points for these images with the interest points determined afterwards by a human geologist shows that the Cyborg Astrobiologist concurred with the human geologist 68% of the time (true positive rate), with a 32% false positive rate and a 32% false negative rate. (abstract has been abridged)., Comment: to appear in Int'l J. Astrobiology, vol.4, iss.2 (June 2005); 19 pages, 7 figs

Published
2005
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20. The Cyborg Astrobiologist: First Field Experience

Author

McGuire, Patrick C., Ormo, Jens, Diaz-Martinez, Enrique, Rodriguez-Manfredi, Jose Antonio, Gomez-Elvira, Javier, Ritter, Helge, Oesker, Markus, and Ontrup, Joerg

Subjects
Computer Science - Computer Vision and Pattern Recognition, Astrophysics, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Human-Computer Interaction, Computer Science - Robotics, Computer Science - Software Engineering, Quantitative Biology - Neurons and Cognition, I.4.8, I.4.6, I.4.0, I.2.9, I.2.10, J.2., I.5.5, I.5.4, I.4.9
Abstract

We present results from the first geological field tests of the `Cyborg Astrobiologist', which is a wearable computer and video camcorder system that we are using to test and train a computer-vision system towards having some of the autonomous decision-making capabilities of a field-geologist and field-astrobiologist. The Cyborg Astrobiologist platform has thus far been used for testing and development of these algorithms and systems: robotic acquisition of quasi-mosaics of images, real-time image segmentation, and real-time determination of interesting points in the image mosaics. The hardware and software systems function reliably, and the computer-vision algorithms are adequate for the first field tests. In addition to the proof-of-concept aspect of these field tests, the main result of these field tests is the enumeration of those issues that we can improve in the future, including: first, detection and accounting for shadows caused by 3D jagged edges in the outcrop; second, reincorporation of more sophisticated texture-analysis algorithms into the system; third, creation of hardware and software capabilities to control the camera's zoom lens in an intelligent manner; and fourth, development of algorithms for interpretation of complex geological scenery. Nonetheless, despite these technical inadequacies, this Cyborg Astrobiologist system, consisting of a camera-equipped wearable-computer and its computer-vision algorithms, has demonstrated its ability of finding genuinely interesting points in real-time in the geological scenery, and then gathering more information about these interest points in an automated manner., Comment: 29 pages, 10 figures (in press)

Published
2004
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21. Field Geology with a Wearable Computer: First Results of the Cyborg Astrobiologist System

Author

McGuire, Patrick C., Gomez-Elvira, Javier, Rodriguez-Manfredi, Jose Antonio, Sebastian-Martinez, Eduardo, Ormo, Jens, Diaz-Martinez, Enrique, Ritter, Helge, Oesker, Markus, Haschke, Robert, and Ontrup, Joerg

Subjects
Computer Science - Computer Vision and Pattern Recognition, Astrophysics, Computer Science - Robotics, I.4.8, I.4.6, I.4.0, I.2.9, I.2.10, J.2., I.5.5, I.5.4, I.4.9
Abstract

We present results from the first geological field tests of the `Cyborg Astrobiologist', which is a wearable computer and video camcorder system that we are using to test and train a computer-vision system towards having some of the autonomous decision-making capabilities of a field-geologist. The Cyborg Astrobiologist platform has thus far been used for testing and development of these algorithms and systems: robotic acquisition of quasi-mosaics of images, real-time image segmentation, and real-time determination of interesting points in the image mosaics. The hardware and software systems function reliably, and the computer-vision algorithms are adequate for the first field tests. In addition to the proof-of-concept aspect of these field tests, the main result of these field tests is the enumeration of those issues that we can improve in the future, including: dealing with structural shadow and microtexture, and also, controlling the camera's zoom lens in an intelligent manner. Nonetheless, despite these and other technical inadequacies, this Cyborg Astrobiologist system, consisting of a camera-equipped wearable-computer and its computer-vision algorithms, has demonstrated its ability of finding genuinely interesting points in real-time in the geological scenery, and then gathering more information about these interest points in an automated manner., Comment: 7 pages, 6 figures. Submitted to ICRA'2005 (Int'l Conf. on Robotics & Automation, IEEE), April 18-22, 2005, Barcelona, Spain

Published
2004

22. Cyborg Systems as Platforms for Computer-Vision Algorithm-Development for Astrobiology

Author

McGuire, Patrick C., Rodriguez-Manfredi, J. A., Sebastian-Martinez, E., Gomez-Elvira, J., Diaz-Martinez, E., Ormo, J., Neuffer, K., Giaquinta, A., Camps-Martinez, F., Lepinette-Malvitte, A., Perez-Mercader, J., Ritter, H., Oesker, M., Ontrup, J., and Walter, J.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Astrophysics, Computer Science - Artificial Intelligence, I.4.0, I.4.6, I.4.8, I.4.9, I.5.4, I.5.5, J.2, I.2.5, I.2.10
Abstract

Employing the allegorical imagery from the film "The Matrix", we motivate and discuss our `Cyborg Astrobiologist' research program. In this research program, we are using a wearable computer and video camcorder in order to test and train a computer-vision system to be a field-geologist and field-astrobiologist., Comment: Updated biblio info

Published
2004

23. Threshold Disorder as a Source of Diverse and Complex Behavior in Random Nets

Author

McGuire, Patrick C., Bohr, Henrik, Clark, John W., Haschke, Robert, Pershing, Chris, and Rafelski, Johann

Subjects
Condensed Matter - Disordered Systems and Neural Networks, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition
Abstract

We study the diversity of complex spatio-temporal patterns in the behavior of random synchronous asymmetric neural networks (RSANNs). Special attention is given to the impact of disordered threshold values on limit-cycle diversity and limit-cycle complexity in RSANNs which have `normal' thresholds by default. Surprisingly, RSANNs exhibit only a small repertoire of rather complex limit-cycle patterns when all parameters are fixed. This repertoire of complex patterns is also rather stable with respect to small parameter changes. These two unexpected results may generalize to the study of other complex systems. In order to reach beyond this seemingly-disabling `stable and small' aspect of the limit-cycle repertoire of RSANNs, we have found that if an RSANN has threshold disorder above a critical level, then there is a rapid increase of the size of the repertoire of patterns. The repertoire size initially follows a power-law function of the magnitude of the threshold disorder. As the disorder increases further, the limit-cycle patterns themselves become simpler until at a second critical level most of the limit cycles become simple fixed points. Nonetheless, for moderate changes in the threshold parameters, RSANNs are found to display specific features of behavior desired for rapidly-responding processing systems: accessibility to a large set of complex patterns., Comment: 20 pages, 14 figures, submitted to Neural Networks

Published
2002

24. Cracking Open the Window for Strongly Interacting Massive Particles as the Halo Dark Matter

Author

McGuire, Patrick C. and Steinhardt, Paul J.

Subjects
Astrophysics
Abstract

In the early 1990's, an analysis was completed by several theorists of the available mass/cross-section parameter space for unusual particle candidates to solve the dark matter problem, e.g. strongly interacting massive particles (SIMPs). This analysis found several unconstrained windows, such that for SIMP masses and cross-sections within these windows, SIMPs could still be the dominant dark matter in our Galactic halo. Since the early 1990's, some of these windows have been narrowed or closed, and some of these windows have been widened further by more careful analysis. We summarize the present state of the SIMP parameter space, and point to the cosmological salience of SIMPs as dark matter, given some of the present inadequacies of the WIMP solution to the dark matter problem., Comment: 4 pages, 1 figure, to appear in the proceedings of the International Cosmic Ray Conference (August 2001), in Hamburg, Germany. Original color version of figure is included in a separate PDF file

Published
2001

25. Self-Interacting Dark Matter

Author

Wandelt, Benjamin D., Dave, Romeel, Farrar, Glennys R., McGuire, Patrick C., Spergel, David N., and Steinhardt, Paul J.

Subjects
Astrophysics
Abstract

Spergel and Steinhardt have recently proposed the concept of dark matter with strong self-interactions as a means to address numerous discrepancies between observations of dark matter halos on subgalactic scales and the predictions of the standard collisionless dark matter picture. We review the motivations for this scenario and discuss some recent, successful numerical tests. We also discuss the possibility that the dark matter interacts strongly with ordinary baryonic matter, as well as with itself. We present a new analysis of the experimental constraints and re-evaluate the allowed range of cross-section and mass., Comment: 12 pages, 3 figures; minor typos corrected. To appear in Proceedings of Dark Matter 2000

Published
2000

26. BRCA1 and BRCA2 germline mutations driven signaling pathway alterations are sufficient to initiate breast tumorigenesis by the PIK3CAH1047Roncogene

Author

Bhat-Nakshatri, Poornima, primary, Khatpe, Aditi, additional, Chen, Duojiao, additional, Batic, Katie, additional, Mang, Henry, additional, Herodotou, Christopher, additional, McGuire, Patrick C., additional, Xuei, Xiaoling, additional, Gao, Hongyu, additional, Liu, Yunlong, additional, Sandusky, George, additional, Storniolo, Anna Maria, additional, and Nakshatri, Harikrishna, additional

Published
2023
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28. Is destabilisation risk increasing in land carbon sinks?

Author

Fernández-Martínez, Marcos, primary, Peñuelas, Josep, additional, Chevallier, Frederic, additional, Ciais, Philippe, additional, Obersteiner, Michael, additional, Rödenbeck, Christian, additional, Sardans, Jordi, additional, Vicca, Sara, additional, Yang, Hui, additional, Sitch, Stephen, additional, Friedlingstein, Pierre, additional, Arora, Vivek K., additional, Goll, Daniel, additional, Jain, Atul K., additional, Lombardozzi, Danica L., additional, and McGuire, Patrick C., additional

Published
2023
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29. Global Carbon Budget 2023

Author

Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Bakker, Dorothee C. E., Hauck, Judith, Landschützer, Peter, Le Quéré, Corinne, Luijkx, Ingrid T., Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Anthoni, Peter, Barbero, Leticia, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Decharme, Bertrand, Bopp, Laurent, Brasika, Ida Bagus Mandhara, Cadule, Patricia, Chamberlain, Matthew A., Chandra, Naveen, Chau, Thi-Tuyet-Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Dou, Xinyu, Enyo, Kazutaka, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Feng, Liang, Ford, Daniel J., Gasser, Thomas, Ghattas, Josefine, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Heinke, Jens, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jacobson, Andrew R., Jain, Atul, Jarníková, Tereza, Jersild, Annika, Jiang, Fei, Jin, Zhe, Joos, Fortunat, Kato, Etsushi, Keeling, Ralph F., Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Lan, Xin, Lefèvre, Nathalie, Li, Hongmei, Liu, Junjie, Liu, Zhiqiang, Ma, Lei, Marland, Greg, Mayot, Nicolas, McGuire, Patrick C., McKinley, Galen A., Meyer, Gesa, Morgan, Eric J., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'Brien, Kevin M., Olsen, Are, Omar, Abdirahman M., Ono, Tsuneo, Paulsen, Melf, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Powis, Carter M., Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Smallman, T. Luke, Smith, Stephen M., Sospedra-Alfonso, Reinel, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., van Ooijen, Erik, Wanninkhof, Rik, Watanabe, Michio, Wimart-Rousseau, Cathy, Yang, Dongxu, Yang, Xiaojuan, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Bakker, Dorothee C. E., Hauck, Judith, Landschützer, Peter, Le Quéré, Corinne, Luijkx, Ingrid T., Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Anthoni, Peter, Barbero, Leticia, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Decharme, Bertrand, Bopp, Laurent, Brasika, Ida Bagus Mandhara, Cadule, Patricia, Chamberlain, Matthew A., Chandra, Naveen, Chau, Thi-Tuyet-Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Dou, Xinyu, Enyo, Kazutaka, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Feng, Liang, Ford, Daniel J., Gasser, Thomas, Ghattas, Josefine, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Hefner, Matthew, Heinke, Jens, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jacobson, Andrew R., Jain, Atul, Jarníková, Tereza, Jersild, Annika, Jiang, Fei, Jin, Zhe, Joos, Fortunat, Kato, Etsushi, Keeling, Ralph F., Kennedy, Daniel, Klein Goldewijk, Kees, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Lan, Xin, Lefèvre, Nathalie, Li, Hongmei, Liu, Junjie, Liu, Zhiqiang, Ma, Lei, Marland, Greg, Mayot, Nicolas, McGuire, Patrick C., McKinley, Galen A., Meyer, Gesa, Morgan, Eric J., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'Brien, Kevin M., Olsen, Are, Omar, Abdirahman M., Ono, Tsuneo, Paulsen, Melf, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Powis, Carter M., Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Séférian, Roland, Smallman, T. Luke, Smith, Stephen M., Sospedra-Alfonso, Reinel, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., van Ooijen, Erik, Wanninkhof, Rik, Watanabe, Michio, Wimart-Rousseau, Cathy, Yang, Dongxu, Yang, Xiaojuan, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, and Zheng, Bo

Abstract

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (E-FOS) are based on energy statistics and cement production data, while emissions from land-use change (E-LUC), mainly deforestation, are based on land-use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly, and its growth rate (G(ATM)) is computed from the annual changes in concentration. The ocean CO2 sink (S-OCEAN) is estimated with global ocean biogeochemistry models and observation-based fCO(2) products. The terrestrial CO2 sink (S-LAND) is estimated with dynamic global vegetation models. Additional lines of evidence on land and ocean sinks are provided by atmospheric inversions, atmospheric oxygen measurements, and Earth system models. The resulting carbon budget imbalance (B-IM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and incomplete understanding of the contemporary carbon cycle. All uncertainties are reported as +/- 1 sigma. For the year 2022, E-FOS increased by 0.9% relative to 2021, with fossil emissions at 9.9 +/- 0.5 GtC yr(-1) (10.2 +/- 0.5 GtC yr(-1) when the cement carbonation sink is not included), and E-LUC was 1.2 +/- 0.7 GtC yr(-1), for a total anthropogenic CO2 emission (including the cement carbonation sink) of 11.1 +/- 0.8 GtC yr(-1) (40.7 +/- 3.2 GtCO(2) yr(-1)). Also, for 2022, G(ATM) was 4.6 +/- 0.2 GtC yr(-1) (2.18 +/- 0.1 ppm yr(-1); ppm denotes parts per million), S-OCEAN was 2.8 +/- 0.4 GtC yr(-1)

Published
2023
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30. Can hydrological models assess the impact of natural flood management in groundwater‐dominated catchments?

Author

Badjana, Hèou Maléki, Cloke, Hannah L., Verhoef, Anne, Julich, Stefan, Camargos, Carla, Collins, Sarah, Macdonald, David M.J., McGuire, Patrick C., Clark, Joanna, Badjana, Hèou Maléki, Cloke, Hannah L., Verhoef, Anne, Julich, Stefan, Camargos, Carla, Collins, Sarah, Macdonald, David M.J., McGuire, Patrick C., and Clark, Joanna

Abstract

Natural flood management (NFM) is widely promoted for managing flood risks but the effectiveness of different types of NFM schemes at medium (100–1000 km2) and large scales (>1000 km2) remains widely unknown. This study demonstrates the importance of fully understanding the impact of model structure, calibration and uncertainty techniques on the results before the NFM assessment is undertaken. Land-based NFM assessment is undertaken in two medium-scale lowland catchments within the Thames River basin (UK) with a modelling approach that uses the Soil and Water Assessment Tool (SWAT) model within an uncertainty framework. The model performed poorly in groundwater-dominated areas (P-factor <0.5 and R-factor >0.6). The model performed better in areas dominated by surface and interflow processes (P-factor >0.5 and R-factor <0.6) and here hypothetical experiments converting land to broadleaf woodland and cropland showed that the model offers good potential for the assessment of NFM effectiveness. However, the reduction of large flood flows greater than 4% in medium-sized catchments would require afforestation of more than 75% of the area. Whilst hydrological models, and specifically SWAT, can be useful tools in assessing the effectiveness of NFM, these results demonstrate that they cannot be applied in all settings.

Published
2023

31. Single-nucleus chromatin accessibility and transcriptomic map of breast tissues of women of diverse genetic ancestry

Author

Bhat-Nakshatri, Poornima, Gao, Hongyu, Khatpe, Aditi S., Adebayo, Adedeji K., McGuire, Patrick C., Erdogan, Cihat, Chen, Duojiao, Jiang, Guanglong, New, Felicia, German, Rana, Emmert, Lydia, Sandusky, George, Storniolo, Anna Maria, Liu, Yunlong, and Nakshatri, Harikrishna

Abstract

Single-nucleus analysis allows robust cell-type classification and helps to establish relationships between chromatin accessibility and cell-type-specific gene expression. Here, using samples from 92 women of several genetic ancestries, we developed a comprehensive chromatin accessibility and gene expression atlas of the breast tissue. Integrated analysis revealed ten distinct cell types, including three major epithelial subtypes (luminal hormone sensing, luminal adaptive secretory precursor (LASP) and basal-myoepithelial), two endothelial and adipocyte subtypes, fibroblasts, T cells, and macrophages. In addition to the known cell identity genes FOXA1(luminal hormone sensing), EHFand ELF5(LASP), TP63and KRT14(basal-myoepithelial), epithelial subtypes displayed several uncharacterized markers and inferred gene regulatory networks. By integrating breast epithelial cell gene expression signatures with spatial transcriptomics, we identified gene expression and signaling differences between lobular and ductal epithelial cells and age-associated changes in signaling networks. LASP cells and fibroblasts showed genetic ancestry-dependent variability. An estrogen receptor-positive subpopulation of LASP cells with alveolar progenitor cell state was enriched in women of Indigenous American ancestry. Fibroblasts from breast tissues of women of African and European ancestry clustered differently, with accompanying gene expression differences. Collectively, these data provide a vital resource for further exploring genetic ancestry-dependent variability in healthy breast biology.

Published
2024
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34. Process-oriented analysis of dominant sources of uncertainty in the land carbon sink

Author

O'Sullivan, Michael, Friedlingstein, Pierre, Sitch, Stephen, Anthoni, Peter, Arneth, Almut, Arora, Vivek K, Bastrikov, Vladislav, Delire, Christine, Goll, Daniel S, Jain, Atul, Kato, Etsushi, Kennedy, Daniel, Knauer, Jürgen, Lienert, Sebastian, Lombardozzi, Danica, McGuire, Patrick C, Melton, Joe R, Nabel, Julia E M S, Pongratz, Julia, Poulter, Benjamin, Séférian, Roland, Tian, Hanqin, Vuichard, Nicolas, Walker, Anthony P, Yuan, Wenping, Yue, Xu, Zaehle, Sönke, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and M.O.S., P.F. and S.S. have received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 821003 (project 4 C).

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Carbon Sequestration, Multidisciplinary, 530 Physics, Uncertainty, General Physics and Astronomy, General Chemistry, Carbon Dioxide, Plants, Carbon, General Biochemistry, Genetics and Molecular Biology, Earth sciences, Soil, ddc:550, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Ecosystem
Abstract

The observed global net land carbon sink is captured by current land models. All models agree that atmospheric CO2 and nitrogen deposition driven gains in carbon stocks are partially offset by climate and land-use and land-cover change (LULCC) losses. However, there is a lack of consensus in the partitioning of the sink between vegetation and soil, where models do not even agree on the direction of change in carbon stocks over the past 60 years. This uncertainty is driven by plant productivity, allocation, and turnover response to atmospheric CO2 (and to a smaller extent to LULCC), and the response of soil to LULCC (and to a lesser extent climate). Overall, differences in turnover explain ~70% of model spread in both vegetation and soil carbon changes. Further analysis of internal plant and soil (individual pools) cycling is needed to reduce uncertainty in the controlling processes behind the global land carbon sink.

Published
2022

35. Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia

Author

Byrne, Brendan, primary, Liu, Junjie, additional, Yi, Yonghong, additional, Chatterjee, Abhishek, additional, Basu, Sourish, additional, Cheng, Rui, additional, Doughty, Russell, additional, Chevallier, Frédéric, additional, Bowman, Kevin W., additional, Parazoo, Nicholas C., additional, Crisp, David, additional, Li, Xing, additional, Xiao, Jingfeng, additional, Sitch, Stephen, additional, Guenet, Bertrand, additional, Deng, Feng, additional, Johnson, Matthew S., additional, Philip, Sajeev, additional, McGuire, Patrick C., additional, and Miller, Charles E., additional

Published
2022
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36. Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models

Author

Chen, Zichong, Liu, Junjie, Henze, Daven K., Huntzinger, Deborah N., Wells, Kelley C., Sitch, Stephen, Friedlingstein, Pierre, Joetzjer, Emilie, Bastrikov, Vladislav, Goll, Daniel S., Haverd, Vanessa, Jain, Atul K., Kato, Etsushi, Lienert, Sebastian, Lombardozzi, Danica L., McGuire, Patrick C., Melton, Joe R., Nabel, Julia E. M. S., Poulter, Benjamin, Tian, Hanqin, Wiltshire, Andrew J., Zaehle, Sönke, and Miller, Scot M.

Subjects
Chemistry, Physics, QC1-999, QD1-999
Abstract

Observations from the Orbiting Carbon Observatory 2 (OCO-2) satellite have been used to estimate CO2 fluxes in many regions of the globe and provide new insight into the global carbon cycle. The objective of this study is to infer the relationships between patterns in OCO-2 observations and environmental drivers (e.g., temperature, precipitation) and therefore inform a process understanding of carbon fluxes using OCO-2. We use a multiple regression and inverse model, and the regression coefficients quantify the relationships between observations from OCO-2 and environmental driver datasets within individual years for 2015–2018 and within seven global biomes. We subsequently compare these inferences to the relationships estimated from 15 terrestrial biosphere models (TBMs) that participated in the TRENDY model inter-comparison. Using OCO-2, we are able to quantify only a limited number of relationships between patterns in atmospheric CO2 observations and patterns in environmental driver datasets (i.e., 10 out of the 42 relationships examined). We further find that the ensemble of TBMs exhibits a large spread in the relationships with these key environmental driver datasets. The largest uncertainty in the models is in the relationship with precipitation, particularly in the tropics, with smaller uncertainties for temperature and photosynthetically active radiation (PAR). Using observations from OCO-2, we find that precipitation is associated with increased CO2 uptake in all tropical biomes, a result that agrees with half of the TBMs. By contrast, the relationships that we infer from OCO-2 for temperature and PAR are similar to the ensemble mean of the TBMs, though the results differ from many individual TBMs. These results point to the limitations of current space-based observations for inferring environmental relationships but also indicate the potential to help inform key relationships that are very uncertain in state-of-the-art TBMs.

Published
2021

37. River flow in the near future: a global perspective in the context of a high-emission climate change scenario.

Author

Müller, Omar V., McGuire, Patrick C., Vidale, Pier Luigi, and Hawkins, Ed.

Abstract

There is high confidence that global warming intensifies all components of the global water cycle. Our goal is to investigate the possible effects of the global warming on river flows worldwide in the coming decades. We conducted 18 global hydrological simulations to assess how the river flows are expected to change in the near future (2015-2050) compared to the recent past (1950-2014). The simulations are forced by runoff from HighResMIP-CMIP6 GCMs, which assume a high-emission scenario for the projections. The assessment includes estimating the signal-to-noise (S/N) ratio and the time of emergence (ToE) of all the rivers in the world, with further evaluation of those presenting significant departures from their historic mean flow. Consistent with the water cycle intensification, the hydrological simulations project a clear positive global river discharge trend from ∼2000, that emerges beyond the levels of natural variability and becomes ‘unfamiliar’ by 2017 and ‘unusual’ by 2033. This climate change signal is dominated by strong increases in flows of rivers originating in central Africa, east Russia, Alaska and Greenland. African rivers project most future annual cycles above the climatological annual cycle, with the largest differences occurring during peak flows. Recent unprecedent floods in the Republic of Congo, D.R.C., Nigeria, and Chad highlight the potential catastrophic consequences of these changes in metropolitan areas. However, the positive trend of Lake Chad tributaries may aid its recovery from the strong reduction observed since the 1970s. Lastly, the projected Nile streamflow rise reinforces the need for collaboration in dam management. The simulated and observed extra release of freshwater into the Arctic Ocean produces a freshening of the ocean, potentially impacting the global ocean overturning circulation. It is concerning that several important rivers are projected to exceed their natural variability. However, the hydrological predictions assume a very high baseline emission scenario and should be interpreted as an upper limit for decision-making. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation

Author

Oliver, Rebecca J., primary, Mercado, Lina M., additional, Clark, Doug B., additional, Huntingford, Chris, additional, Taylor, Christopher M., additional, Vidale, Pier Luigi, additional, McGuire, Patrick C., additional, Todt, Markus, additional, Folwell, Sonja, additional, Shamsudheen Semeena, Valiyaveetil, additional, and Medlyn, Belinda E., additional

Published
2022
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39. Self-Interacting Dark Matter

Author

Wandelt, Benjamin D., Davé, Romeel, Farrar, Glennys R., McGuire, Patrick C., Spergel, David N., Steinhardt, Paul J., and Cline, David B., editor

Published
2001
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40. Global Carbon Budget 2021

Author

Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Integr. Assessm. Global Environm. Change, and Environmental Sciences

Subjects
Earth and Planetary Sciences(all)
Abstract

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize datasets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly, and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) is estimated with global ocean biogeochemistry models and observation-based data products. The terrestrial CO2 sink (SLAND) is estimated with dynamic global vegetation models. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the first time, an approach is shown to reconcile the difference in our ELUC estimate with the one from national greenhouse gas inventories, supporting the assessment of collective countries' climate progress. For the year 2020, EFOS declined by 5.4% relative to 2019, with fossil emissions at 9.5±0.5GtCyr-1 (9.3±0.5GtCyr-1 when the cement carbonation sink is included), and ELUC was 0.9±0.7GtCyr-1, for a total anthropogenic CO2 emission of 10.2±0.8GtCyr-1 (37.4±2.9GtCO2). Also, for 2020, GATM was 5.0±0.2GtCyr-1 (2.4±0.1ppmyr-1), SOCEAN was 3.0±0.4GtCyr-1, and SLAND was 2.9±1GtCyr-1, with a BIM of -0.8GtCyr-1. The global atmospheric CO2 concentration averaged over 2020 reached 412.45±0.1ppm. Preliminary data for 2021 suggest a rebound in EFOS relative to 2020 of +4.8% (4.2% to 5.4%) globally. Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959-2020, but discrepancies of up to 1GtCyr-1 persist for the representation of annual to semi-decadal variability in CO2 fluxes. Comparison of estimates from multiple approaches and observations shows (1) a persistent large uncertainty in the estimate of land-use changes emissions, (2) a low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) a discrepancy between the different methods on the strength of the ocean sink over the last decade. This living data update documents changes in the methods and datasets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this dataset (Friedlingstein et al., 2020, 2019; Le Quéré et al., 2018b, a, 2016, 2015b, a, 2014, 2013). The data presented in this work are available at 10.18160/gcp-2021 (Friedlingstein et al., 2021).

Published
2022

41. Global Carbon Budget 2021

Author

Integr. Assessm. Global Environm. Change, Environmental Sciences, Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, Zeng, Jiye, Integr. Assessm. Global Environm. Change, Environmental Sciences, Friedlingstein, Pierre, Jones, Matthew W., O'Sullivan, Michael, Andrew, Robbie M., Bakker, Dorothee C.E., Hauck, Judith, Le Quéré, Corinne, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Rob B., Alin, Simone R., Anthoni, Peter, Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bopp, Laurent, Chau, Thi Tuyet Trang, Chevallier, Frédéric, Chini, Louise P., Cronin, Margot, Currie, Kim I., Decharme, Bertrand, Djeutchouang, Laique M., Dou, Xinyu, Evans, Wiley, Feely, Richard A., Feng, Liang, Gasser, Thomas, Gilfillan, Dennis, Gkritzalis, Thanos, Grassi, Giacomo, Gregor, Luke, Gruber, Nicolas, Gürses, Özgür, Harris, Ian, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Luijkx, Ingrid T., Jain, Atul, Jones, Steve D., Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jürgen, Korsbakken, Jan Ivar, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lienert, Sebastian, Liu, Junjie, Marland, Gregg, McGuire, Patrick C., Melton, Joe R., Munro, David R., Nabel, Julia E.M.S., Nakaoka, Shin Ichiro, Niwa, Yosuke, Ono, Tsuneo, Pierrot, Denis, Poulter, Benjamin, Rehder, Gregor, Resplandy, Laure, Robertson, Eddy, Rödenbeck, Christian, Rosan, Thais M., Schwinger, Jörg, Schwingshackl, Clemens, Séférian, Roland, Sutton, Adrienne J., Sweeney, Colm, Tanhua, Toste, Tans, Pieter P., Tian, Hanqin, Tilbrook, Bronte, Tubiello, Francesco, Van Der Werf, Guido R., Vuichard, Nicolas, Wada, Chisato, Wanninkhof, Rik, Watson, Andrew J., Willis, David, Wiltshire, Andrew J., Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sönke, and Zeng, Jiye

Published
2022

42. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation

Author

Oliver, Rebecca J., Mercado, Lina M., Clark, Doug B., Huntingford, Chris, Taylor, Christopher M., Vidale, Pier Luigi, McGuire, Patrick C., Todt, Markus, Folwell, Sonja, Shamsudheen, Semeena Valiyaveetil, Medlyn, Belinda E., Oliver, Rebecca J., Mercado, Lina M., Clark, Doug B., Huntingford, Chris, Taylor, Christopher M., Vidale, Pier Luigi, McGuire, Patrick C., Todt, Markus, Folwell, Sonja, Shamsudheen, Semeena Valiyaveetil, and Medlyn, Belinda E.

Abstract

Carbon and water cycle dynamics of vegetation are controlled primarily by photosynthesis and stomatal conductance (gs). Our goal is to improve the representation of these key physiological processes within the JULES land surface model, with a particular focus on refining the temperature sensitivity of photosynthesis, impacting modelled carbon, energy and water fluxes. We test (1) an implementation of the Farquhar et al. (1980) photosynthesis scheme and associated plant functional type-dependent photosynthetic temperature response functions, (2) the optimality-based gs scheme from Medlyn et al. (2011) and (3) the Kattge and Knorr (2007) photosynthetic capacity thermal acclimation scheme. New parameters for each model configuration are adopted from recent large observational datasets that synthesise global experimental data. These developments to JULES incorporate current physiological understanding of vegetation behaviour into the model and enable users to derive direct links between model parameters and ongoing measurement campaigns that refine such parameter values. Replacement of the original Collatz et al. (1991) C3 photosynthesis model with the Farquhar scheme results in large changes in GPP for the current day, with ∼ 10 % reduction in seasonal (June–August, JJA, and December–February, DJF) mean GPP in tropical forests and ∼ 20 % increase in the northern high-latitude forests in JJA. The optimality-based gs model decreases the latent heat flux for the present day (∼ 10 %, with an associated increase in sensible heat flux) across regions dominated by needleleaf evergreen forest in the Northern Hemisphere summer. Thermal acclimation of photosynthesis coupled with the Medlyn gs scheme reduced tropical forest GPP by up to 5 % and increased GPP in the high-northern-latitude forests by between 2 % and 5 %. Evaluation of simulated carbon and water fluxes by each model configuration against global data products shows this latter configuration generates improvements in

Published
2022

43. Adaptive optics: Neural network wavefront sensing, reconstruction, and prediction

Author

McGuire, Patrick C., Sandler, David G., Lloyd-Hart, Michael, Rhoadarmer, Troy A., Beig, R., editor, Ehlers, J., editor, Frisch, U., editor, Hepp, K., editor, Jaffe, R. L., editor, Kippenhahn, R., editor, Ojima, I., editor, Weidenmüller, H. A., editor, Wess, J., editor, Zittartz, J., editor, Beiglböck, W., editor, Eisenächer, Monika, editor, Clark, John W., editor, Lindenau, Thomas, editor, and Ristig, Manfred L., editor

Published
1999
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44. Global Carbon Budget 2021

Author

Friedlingstein, Pierre, primary, Jones, Matthew W., additional, O'Sullivan, Michael, additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Rob B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bopp, Laurent, additional, Chau, Thi Tuyet Trang, additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Currie, Kim I., additional, Decharme, Bertrand, additional, Djeutchouang, Laique M., additional, Dou, Xinyu, additional, Evans, Wiley, additional, Feely, Richard A., additional, Feng, Liang, additional, Gasser, Thomas, additional, Gilfillan, Dennis, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Luijkx, Ingrid T., additional, Jain, Atul, additional, Jones, Steve D., additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lienert, Sebastian, additional, Liu, Junjie, additional, Marland, Gregg, additional, McGuire, Patrick C., additional, Melton, Joe R., additional, Munro, David R., additional, Nabel, Julia E. M. S., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, Ono, Tsuneo, additional, Pierrot, Denis, additional, Poulter, Benjamin, additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Schwingshackl, Clemens, additional, Séférian, Roland, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tubiello, Francesco, additional, van der Werf, Guido R., additional, Vuichard, Nicolas, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Watson, Andrew J., additional, Willis, David, additional, Wiltshire, Andrew J., additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, and Zeng, Jiye, additional

Published
2022
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45. Assessing the variability of soil temperatures in Land Surface Models using outputs from the Soil Parameter Model Intercomparison Project (SP-MIP)

Author

Verhoef, Anne, primary, Zeng, Yijian, additional, Cuntz, Matthias, additional, Gudmundsson, Lukas, additional, Thober, Stephan, additional, McGuire, Patrick C., additional, Bergner, Hannah, additional, Boone, Aaron, additional, Ducharne, Agnès, additional, Ellis, Rich, additional, Kim, Hyungjun, additional, Koirala, Sujan, additional, Lawrence, Dave, additional, Oleson, Keith, additional, Swenson, Sean, additional, Tafasca, Salma, additional, de Vrese, Philipp, additional, Seneviratne, Sonia, additional, Or, Dani, additional, and Vereecken, Harry, additional

Published
2022
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46. Supplementary material to &quot;Improved representation of plant physiology in the JULES-vn5.6 land surface model: Photosynthesis, stomatal conductance and thermal acclimation&quot;

Author

Oliver, Rebecca J., primary, Mercado, Lina M., additional, Clark, Doug B., additional, Huntingford, Chris, additional, Taylor, Christopher M., additional, Vidale, Pier Luigi, additional, McGuire, Patrick C., additional, Todt, Markus, additional, Folwell, Sonja, additional, Shamsudheen Semeena, Valiyaveetil, additional, and Medlyn, Belinda E., additional

Published
2022
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47. Supplementary material to &quot;Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia&quot;

Author

Byrne, Brendan, primary, Liu, Junjie, additional, Yi, Yonghong, additional, Chatterjee, Abhishek, additional, Basu, Sourish, additional, Cheng, Rui, additional, Doughty, Russell, additional, Chevallier, Frédéric, additional, Bowman, Kevin W., additional, Parazoo, Nicholas C., additional, Crisp, David, additional, Li, Xing, additional, Xiao, Jingfeng, additional, Sitch, Stephen, additional, Guenet, Bertrand, additional, Deng, Feng, additional, Johnson, Matthew S., additional, Philip, Sajeev, additional, McGuire, Patrick C., additional, and Miller, Charles E., additional

Published
2022
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48. Abstract P3-07-09: Single cell transcriptomic analysis reveals the effects of BRCA1 and BRCA2 mutations on distinct signaling networks and cancer susceptibility

Author

Nakshatri, Harikrishna, primary, Bhat-Nakshatri, Poornima, additional, Chen, Duojiao, additional, Chen, Katie, additional, Mang, Henry, additional, Herodotou, Christopher A, additional, Khatpe, Aditi S, additional, McGuire, Patrick C, additional, Xuei, Xiaoling, additional, Liu, Yunlong, additional, Sandusky, George, additional, and Storniolo, Anna Maria, additional

Published
2022
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49. Global Carbon Budget 2021

Author

Friedlingstein, Pierre, primary, Jones, Matthew W., additional, O'Sullivan, Michael, additional, Andrew, Robbie M., additional, Bakker, Dorothee C. E., additional, Hauck, Judith, additional, Le Quéré, Corinne, additional, Peters, Glen P., additional, Peters, Wouter, additional, Pongratz, Julia, additional, Sitch, Stephen, additional, Canadell, Josep G., additional, Ciais, Philippe, additional, Jackson, Rob B., additional, Alin, Simone R., additional, Anthoni, Peter, additional, Bates, Nicholas R., additional, Becker, Meike, additional, Bellouin, Nicolas, additional, Bopp, Laurent, additional, Chau, Thi T. T., additional, Chevallier, Frédéric, additional, Chini, Louise P., additional, Cronin, Margot, additional, Currie, Kim I., additional, Decharme, Bertrand, additional, Djeutchouang, Laique, additional, Dou, Xinyu, additional, Evans, Wiley, additional, Feely, Richard A., additional, Feng, Liang, additional, Gasser, Thomas, additional, Gilfillan, Dennis, additional, Gkritzalis, Thanos, additional, Grassi, Giacomo, additional, Gregor, Luke, additional, Gruber, Nicolas, additional, Gürses, Özgür, additional, Harris, Ian, additional, Houghton, Richard A., additional, Hurtt, George C., additional, Iida, Yosuke, additional, Ilyina, Tatiana, additional, Luijkx, Ingrid T., additional, Jain, Atul K., additional, Jones, Steve D., additional, Kato, Etsushi, additional, Kennedy, Daniel, additional, Klein Goldewijk, Kees, additional, Knauer, Jürgen, additional, Korsbakken, Jan Ivar, additional, Körtzinger, Arne, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lienert, Sebastian, additional, Liu, Junjie, additional, Marland, Gregg, additional, McGuire, Patrick C., additional, Melton, Joe R., additional, Munro, David R., additional, Nabel, Julia E. M. S., additional, Nakaoka, Shin-Ichiro, additional, Niwa, Yosuke, additional, Ono, Tsuneo, additional, Pierrot, Denis, additional, Poulter, Benjamin, additional, Rehder, Gregor, additional, Resplandy, Laure, additional, Robertson, Eddy, additional, Rödenbeck, Christian, additional, Rosan, Thais M., additional, Schwinger, Jörg, additional, Schwingshackl, Clemens, additional, Séférian, Roland, additional, Sutton, Adrienne J., additional, Sweeney, Colm, additional, Tanhua, Toste, additional, Tans, Pieter P., additional, Tian, Hanqin, additional, Tilbrook, Bronte, additional, Tubiello, Francesco, additional, van der Werf, Guido, additional, Vuichard, Nicolas, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Watson, Andrew, additional, Willis, David, additional, Wiltshire, Andrew J., additional, Yuan, Wenping, additional, Yue, Chao, additional, Yue, Xu, additional, Zaehle, Sönke, additional, and Zeng, Jiye, additional

Published
2021
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50. Assessing the representation of the Australian carbon cycle in global vegetation models

Author

Teckentrup, Lina, primary, De Kauwe, Martin G., additional, Pitman, Andrew J., additional, Goll, Daniel S., additional, Haverd, Vanessa, additional, Jain, Atul K., additional, Joetzjer, Emilie, additional, Kato, Etsushi, additional, Lienert, Sebastian, additional, Lombardozzi, Danica, additional, McGuire, Patrick C., additional, Melton, Joe R., additional, Nabel, Julia E. M. S., additional, Pongratz, Julia, additional, Sitch, Stephen, additional, Walker, Anthony P., additional, and Zaehle, Sönke, additional

Published
2021
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