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699 results on '"Peters-Lidard, Christa"'

1. Development of a composite drought indicator for operational drought monitoring in the MENA region

Author

Bergaoui, Karim, Fraj, Makram Belhaj, Fragaszy, Stephen, Ghanim, Ali, Hamadin, Omar, Al-Karablieh, Emad, Al-Bakri, Jawad, Fakih, Mona, Fayad, Abbas, Comair, Fadi, Yessef, Mohamed, Mansour, Hayat Ben, Belgrissi, Haythem, Arsenault, Kristi, Peters-Lidard, Christa, Kumar, Sujay, Hazra, Abheera, Nie, Wanshu, Hayes, Michael, Svoboda, Mark, and McDonnell, Rachael

Published
2024
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3. Advancing Precipitation Estimation, Prediction and Impact Studies

Author

Foufoula-Georgiou, Efi, Guilloteau, Clement, Nguyen, Phu, Aghakouchak, Amir, Hsu, Kuo-Lin, Busalacchi, Antonio, Turk, F Joseph, Peters-Lidard, Christa, Oki, Taikan, Duan, Qingyun, Krajewski, Witold, Uijlenhoet, Remko, Barros, Ana, Kirstetter, Pierre, Logan, William, Hogue, Terri, Gupta, Hoshin, and Levizzani, Vincenzo

Subjects
Earth Sciences, Atmospheric Sciences, Climate Change Science, Astronomical and Space Sciences, Physical Geography and Environmental Geoscience, Meteorology & Atmospheric Sciences, Atmospheric sciences, Climate change science
Published
2020

7. Corrigendum

Author

Abbaszadeh, Peyman, Moradkhani, Hamid, Gavahi, Keyhan, Kumar, Sujay, Hain, Christopher, Zhan, Xiwu, Duan, Qingyun, Peters-Lidard, Christa, and Karimiziarani, Sepehr

Published
2021

17. Enhancing Winter Climate Simulations of the Great Lakes: Insights from a New Coupled Lake-Ice-Atmosphere (CLIAv1) Model on the Importance of Integrating 3D Hydrodynamics with a Regional Climate Model.

Author

Xue, Pengfei, Huang, Chenfu, Zhong, Yafang, Notaro, Michael, Kayastha, Miraj B., Zhou, Xing, Zhao, Chuyan, Peters-Lidard, Christa, Cruz, Carlos, and Kemp, Eric

Subjects
ICE on rivers, lakes, etc., WEATHER, METEOROLOGICAL research, WEATHER forecasting, ATMOSPHERIC models
Abstract

The Laurentian Great Lakes significantly influence the climate of the Midwest and Northeast United States, due to their vast thermal inertia, moisture source potential, and unique heat and moisture flux dynamics. This study presents a newly developed coupled lake-ice-atmosphere (CLIAv1) modeling system for the Great Lakes by coupling the National Aeronautics and Space Administration (NASA)-Unified Weather Research and Forecasting (NU-WRF) regional climate model (RCM) with the three-dimensional (3D) Finite Volume Community Ocean Model (FVCOM) and investigates the impact of coupled dynamics on simulating the Great Lakes' winter climate. By integrating 3D lake hydrodynamics, CLIAv1 addresses the limitations of traditional one-dimensional (1D) lake and demonstrates superior performance in reproducing observed LSTs, ice cover distribution, and the vertical thermal structure of the Great Lakes compared to the NU-WRF model coupled with the default 1D Lake Ice Snow and Sediment Simulator (LISSS). CLIAv1 also enhances simulation of over-lake atmospheric conditions, including air temperature, wind speed, and sensible and latent heat fluxes, underscoring the importance of resolving complex lake dynamics for reliable climate projections. More importantly, this study addresses the crucial question about what are the key processes influencing lake thermal structure and ice cover that are missed by 1D lake models but effectively captured by 3D lake models. Through process-oriented numerical experiments, we identify key 3D hydrodynamic processes – ice transport, heat advection, and shear production in turbulence – that explain the superiority of 3D lake models over 1D lake models, particularly in cold season performance and lake-atmosphere interactions. Properly resolving these processes using 3D hydrodynamic model is crucial for successfully simulating the lake-ice-atmosphere coupled Great Lakes winter system. This research underscores the necessity of incorporating 3D hydrodynamic models in RCMs to improve our predictive understanding of the Great Lakes' response to climate change. The findings advocate for a shift towards high-resolution, physics-based modeling approaches to ensure accurate future climate and limnological projections for large freshwater systems. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Better Advance Warnings of Drought : A New NASA Hydrological Forecast System

Author

Arsenault, Kristi R., Shukla, Shraddhanand, Hazra, Abheera, Getirana, Augusto, McNally, Amy, Kumar, Sujay V., Koster, Randal D., Peters-Lidard, Christa D., Zaitchik, Benjamin F., Badr, Hamada, Jung, Hahn Chul, Narapusetty, Bala, Navari, Mahdi, Wang, Shugong, Mocko, David M., Funk, Chris, Harrison, Laura, Husak, Gregory J., Adoum, Alkhalil, Galu, Gideon, Magadzire, Tamuka, Roningen, Jeanne, Shaw, Michael, Eylander, John, Bergaoui, Karim, McDonnell, Rachael A., and Verdin, James P.

Published
2020

20. The NASA Hydrological Forecast System for Food and Water Security Applications

Author

Arsenault, Kristi R., Shukla, Shraddhanand, Hazra, Abheera, Getirana, Augusto, McNally, Amy, Kumar, Sujay V., Koster, Randal D., Peters-Lidard, Christa D., Zaitchik, Benjamin F., Badr, Hamada, Jung, Hahn Chul, Narapusetty, Bala, Navari, Mahdi, Wang, Shugong, Mocko, David M., Funk, Chris, Harrison, Laura, Husak, Gregory J., Adoum, Alkhalil, Galu, Gideon, Magadzire, Tamuka, Roningen, Jeanne, Shaw, Michael, Eylander, John, Bergaoui, Karim, McDonnell, Rachael A., and Verdin, James P.

Published
2020

22. The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism.

Author

Clark, Martyn P, Bierkens, Marc FP, Samaniego, Luis, Woods, Ross A, Uijlenhoet, Remko, Bennett, Katrina E, Pauwels, Valentijn RN, Cai, Xitian, Wood, Andrew W, and Peters-Lidard, Christa D

Subjects
Environmental Engineering, Physical Geography and Environmental Geoscience, Civil Engineering
Abstract

The diversity in hydrologic models has historically led to great controversy on the "correct" approach to process-based hydrologic modeling, with debates centered on the adequacy of process parameterizations, data limitations and uncertainty, and computational constraints on model analysis. In this paper, we revisit key modeling challenges on requirements to (1) define suitable model equations, (2) define adequate model parameters, and (3) cope with limitations in computing power. We outline the historical modeling challenges, provide examples of modeling advances that address these challenges, and define outstanding research needs. We illustrate how modeling advances have been made by groups using models of different type and complexity, and we argue for the need to more effectively use our diversity of modeling approaches in order to advance our collective quest for physically realistic hydrologic models.

Published
2017

23. High-Resolution SMAP Satellite Soil Moisture Product: Exploring the Opportunities

Author

Abbaszadeh, Peyman, Moradkhani, Hamid, Gavahi, Keyhan, Kumar, Sujay, Hain, Christopher, Zhan, Xiwu, Duan, Qingyun, Peters-Lidard, Christa, and Karimiziarani, Sepehr

Subjects
Soil moisture -- Models, Hydrologic cycle -- Models -- Environmental aspects, Artificial satellites in remote sensing -- Usage, Business, Earth sciences
Abstract

The amount (soil moisture) and state (freeze-thaw) of the water in soil plays a pivotal role in global water, energy, and carbon cycles. The water content of the top few [...]

Published
2021
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28. RECOGNIZING THE FAMINE EARLY WARNING SYSTEMS NETWORK : Over 30 Years of Drought Early Warning Science Advances and Partnerships Promoting Global Food Security

Author

Funk, Chris, Shukla, Shraddhanand, Thiaw, Wassila Mamadou, Rowland, James, Hoell, Andrew, McNally, Amy, Husak, Gregory, Novella, Nicholas, Budde, Michael, Peters-Lidard, Christa, Adoum, Aklhalil, Galu, Gideon, Korecha, Diriba, Magadzire, Tamuka, Rodriguez, Mario, Robjhon, Miliaritiana, Bekele, Endalkachew, Arsenault, Kristi, Peterson, Pete, Harrison, Laura, Fuhrman, Steven, Davenport, Frank, Landsfeld, Marty, Pedreros, Diego, Jacob, Jossy P., Reynolds, Curt, Becker-Reshef, Inbal, and Verdin, James

Published
2019

30. Water Balance in the Amazon Basin from a Land Surface Model Ensemble

Author

Getirana, Augusto CV, Dutra, Emanuel, Guimberteau, Matthieu, Kam, Jonghun, Li, Hong-Yi, Decharme, Bertrand, Zhang, Zhengqiu, Ducharne, Agnes, Boone, Aaron, Balsamo, Gianpaolo, Rodell, Matthew, Toure, Ally M, Xue, Yongkang, Peters-Lidard, Christa D, Kumar, Sujay V, Arsenault, Kristi, Drapeau, Guillaume, Ruby Leung, L, Ronchail, Josyane, and Sheffield, Justin

Subjects
Climate Action, Amazon region, Runoff, Hydrologic models, Land surface model, Atmospheric Sciences, Meteorology & Atmospheric Sciences
Abstract

Despite recent advances in land surfacemodeling and remote sensing, estimates of the global water budget are still fairly uncertain. This study aims to evaluate the water budget of the Amazon basin based on several state-ofthe- art land surface model (LSM) outputs. Water budget variables (terrestrial water storage TWS, evapotranspiration ET, surface runoff R, and base flow B) are evaluated at the basin scale using both remote sensing and in situ data. Meteorological forcings at a 3-hourly time step and 18 spatial resolution were used to run 14 LSMs. Precipitation datasets that have been rescaled to matchmonthly Global Precipitation Climatology Project (GPCP) andGlobal Precipitation Climatology Centre (GPCC) datasets and the daily Hydrologie du Bassin de l'Amazone (HYBAM) dataset were used to perform three experiments. The Hydrological Modeling and Analysis Platform (HyMAP) river routing scheme was forced with R and B and simulated discharges are compared against observations at 165 gauges. Simulated ET and TWS are compared against FLUXNET and MOD16A2 evapotranspiration datasets andGravity Recovery and ClimateExperiment (GRACE)TWSestimates in two subcatchments of main tributaries (Madeira and Negro Rivers).At the basin scale, simulated ET ranges from 2.39 to 3.26mmday-1 and a low spatial correlation between ET and precipitation indicates that evapotranspiration does not depend on water availability over most of the basin. Results also show that other simulated water budget components vary significantly as a function of both the LSM and precipitation dataset, but simulated TWS generally agrees with GRACE estimates at the basin scale. The best water budget simulations resulted from experiments using HYBAM, mostly explained by a denser rainfall gauge network and the rescaling at a finer temporal scale.

Published
2014

31. Invigorating Hydrological Research through Journal Publications

Author

Quinn, Nevil, Blöschl, Günter, Bárdossy, András, Castellarin, Attilio, Clark, Martyn, Cudennec, Christophe, Koutsoyiannis, Demetris, Lall, Upmanu, Lichner, Lubomir, Parajka, Juraj, Peters-Lidard, Christa D., Sander, Graham, Savenije, Hubert, Smettem, Keith, Vereecken, Harry, Viglione, Alberto, Willems, Patrick, Wood, Andy, Woods, Ross, Xu, Chong-Yu, and Zehe, Erwin

Published
2018

38. Reply to comment by Keith J. Beven and Hannah L. Cloke on �Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water�

Author

Wood, Eric F, Roundy, Joshua K, Troy, Tara J, van Beek, Rens, Bierkens, Marc, Blyth, Eleanor, de Roo, Ad, Döll, Petra, Ek, Mike, Famiglietti, James, Gochis, David, van de Giesen, Nick, Houser, Paul, Jaffe, Peter, Kollet, Stefan, Lehner, Bernhard, Lettenmaier, Dennis P, Peters-Lidard, Christa D, Sivapalan, Murugesu, Sheffield, Justin, Wade, Andrew J, and Whitehead, Paul

Subjects
Modeling
Published
2012

40. Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water

Author

Wood, Eric F, Roundy, Joshua K, Troy, Tara J, van Beek, L. P. H, Bierkens, Marc F. P, Blyth, Eleanor, de Roo, Ad, Döll, Petra, Ek, Mike, Famiglietti, James, Gochis, David, van de Giesen, Nick, Houser, Paul, Jaffé, Peter R, Kollet, Stefan, Lehner, Bernhard, Lettenmaier, Dennis P, Peters-Lidard, Christa, Sivapalan, Murugesu, Sheffield, Justin, Wade, Andrew, and Whitehead, Paul

Subjects
multiple source assessment, nitrogen model, catchments Inca, part I, inundation, equations, hydrology, flow, consequences, simulation
Abstract

Monitoring Earth's terrestrial water conditions is critically important to many hydrological applications such as global food production; assessing water resources sustainability; and flood, drought, and climate change prediction. These needs have motivated the development of pilot monitoring and prediction systems for terrestrial hydrologic and vegetative states, but to date only at the rather coarse spatial resolutions (∼10–100 km) over continental to global domains. Adequately addressing critical water cycle science questions and applications requires systems that are implemented globally at much higher resolutions, on the order of 1 km, resolutions referred to as hyperresolution in the context of global land surface models. This opinion paper sets forth the needs and benefits for a system that would monitor and predict the Earth's terrestrial water, energy, and biogeochemical cycles. We discuss six major challenges in developing a system: improved representation of surface-subsurface interactions due to fine-scale topography and vegetation; improved representation of land-atmospheric interactions and resulting spatial information on soil moisture and evapotranspiration; inclusion of water quality as part of the biogeochemical cycle; representation of human impacts from water management; utilizing massively parallel computer systems and recent computational advances in solving hyperresolution models that will have up to 109 unknowns; and developing the required in situ and remote sensing global data sets. We deem the development of a global hyperresolution model for monitoring the terrestrial water, energy, and biogeochemical cycles a “grand challenge” to the community, and we call upon the international hydrologic community and the hydrological science support infrastructure to endorse the effort.

Published
2011

41. Joint Editorial Invigorating Hydrological Research through Journal Publications

Author

Quinn Nevil, Blöschl Günter, Bárdossy András, Castellarin Attilio, Clark Martyn, Cudennec Christophe, Koutsoyiannis Demetris, Lall Upmanu, Lichner Lubomir, Parajka Juraj, Peters-Lidard Christa D., Sander Graham, Savenije Hubert, Smettem Keith, Vereecken Harry, Viglione Alberto, Willems Patrick, Wood Andy, Woods Ross, Xu Chong-Yu, and Zehe Erwin

Subjects
Hydraulic engineering, TC1-978
Abstract

Editors of several journals in the field of hydrology met during the General Assembly of the European Geosciences Union-EGU in Vienna in April 2017. This event was a follow-up of similar meetings held in 2013 and 2015. These meetings enable the group of editors to review the current status of the journals and the publication process, and to share thoughts on future strategies. Journals were represented at the 2017 meeting by their editors, as shown in the list of authors. The main points on invigorating hydrological research through journal publications are communicated in this joint editorial published in the above journals.

Published
2018
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47. U.S. Contributions to the CEOP

Author

Lawford, Richard, Bosilovich, Mike, Eden, Susanna, Benedict, Sam, Brown, Constance, Gruber, Arnold, Houser, Paul, Hsu, Kuolin, Huang, Jin, Lau, William, Meyers, Tilden, Mitchell, Kenneth, Peters-Lidard, Christa, Roads, John, Rodell, Matt, Sorooshian, Soroosh, Tarpley, Dan, and Williams, Steve

Subjects
Astronomical and Space Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience, Meteorology & Atmospheric Sciences
Abstract

The Coordinated Enhanced Observing Period (CEOP) is an international project that was first proposed by the Global Energy and water Cycle Experiment (GEWEX) in 1997 and was formally launched in 2001. Since that time it has been adopted by the World Climate Research Programme (WCRP), which views it as an essential parts of its strategy for developing global datasets to evaluate global climate models, and by the Integrated Global Observing Strategy Partnership (IGOS-P), which views it as the first element of its global water cycle theme. The United States has been an active partner in all phases of CEOP. In particular, the United States has taken the lead in contributinh data from a number of reference sites, providing data processing, and archiving capabilities and related research activities through the GEWEX Americas Prediction Project (GAPP). Other U.S. programs and agencies are providing components including model and data assimilation output, satelite data, and other services. The U.S. science community has also been using the CEOP database in model evaluation and phenomenological studies. This article summarizes the U.S. contributions during the first phase of CEOP and outlines opportunities for readers to become involved in the data analysis phase of the project.

Published
2006

48. Contribution of Infiltration Process Uncertainty on the Simulation of Terrestrial Water and Energy Budgets

Author

Wang, Shugong, Kumar, Sujay, Mocko, David, Wegiel, Jerry, and Peters-Lidard, Christa

Subjects
Earth Resources And Remote Sensing
Abstract

The infiltration step is the major forking point of precipitation partition in land surface models, which plays a more significant role than canopy interception for simulating water and energy budgets.In this study, we found significant differences in water and energy-related outputs amount JULES, Noah, Noah-MP, and VIC. The differences are directly or indirectly related to the infiltration components in the models. Those differences add uncertainties to the applications of land surface models. Thorough evaluations are needed to determine the reliability of infiltration schemes used in these models.

Published
2020

50. Data Assimilation Enhancements to Air Force Weather’s Land Information System

Author

Wegiel, Jerry, Kumar, Sujay V, Peters-Lidard, Christa, Kemp, Eric M, Geiger, James V, Wang, Shugong, Mocko, David, Arsenault, Kristi, Yoon, Yeosang, Navari, Mahdi, Wang, Zhuo, Jacob, Jossy, Kwon, Yonghwan, Rheingrover, Scott, Rosenberg, Robert, Vuyowich, Carrie, Bindlish, Rajat, O’Neill, Peggy, Horner, Michael, Cetola, Jeffrey, Floyd, Jack, Rugg, Steven, Lewiston, Ted, Creighton, Glenn, Ritz, Richard, Keane, James, Wright, Nathan, Martinelli, Jason, Baker, Samantha, Craig, Robert, Puskar, Michael, Smith, Jason, Rentschler, Scott, Kuchera, Evan, McDonald, Patrick, Farrar, Michael, McMillen, John, Hummel, Corey, Allen, Mark, Sayfi, Elias, Eylander, John, Best, Martin, Gomez, Breogan, Renshaw, Richard, Boyd, Douglas, Charlton-Perez, Cristina, Bovis, Keir, Pankiewicz, George, Elliott, Wayne, Barker, Dale, Chen, Sue, DeLuca, Cecelia, Rosen, Daniel, Dunlap, Rocky, Nance, Louisa, Harrold, Michelle, Win-Gildenmeister, Minna, Hertneky, Tracy, Blank, Lindsay, Park, SeiYoung, Uddstrom, Michael, Moore, Stuart, Dharssi, Imtiaz, Kumar, Vinod, and Steinle, Peter

Subjects
Geosciences (General)
Abstract

The United States Air Force (USAF) has a proud and storied tradition of enabling significant advancements in the area of characterizing and modeling land state information. 557th Weather Wing (557 WW; DoD’s Executive Agent for Land Information) provides routine geospatial intelligence information to warfighters, planners, and decision makers at all echelons and services of the U.S. military, government and intelligence community. 557 WW and its predecessors have been home to the DoD’s only operational regional and global land data analysis systems since January 1958. As a trusted partner since 2005, Air Force Weather (AFW) has relied on the Hydrological Sciences Laboratory at NASA/GSFC to lead the interagency scientific collaboration known as the Land Information System (LIS). LIS is an advanced software framework for high performance land surface modeling and data assimilation of geospatial intelligence (GEOINT) information.

Published
2020

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