22 results on '"Zongci Zhao"'
Search Results
2. Contribution of atmospheric moisture transport to winter Arctic warming
- Author
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Yong Luo, Zongci Zhao, Mingju Hao, Yanluan Lin, Jianbin Huang, and Lei Wang
- Subjects
Atmospheric Science ,Surface air temperature ,Atmospheric moisture ,Arctic ,Climatology ,Environmental science ,Water cycle - Published
- 2019
3. Decadal Prediction Skill of BCC-CSM1.1 with Different Initialization Strategies
- Author
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Xiaoge Xin, Wei Zhou, Zongci Zhao, Yong Luo, Qing-Quan Li, and Min Wei
- Subjects
Atmospheric Science ,business.industry ,Environmental science ,Initialization ,Forecast skill ,Artificial intelligence ,business ,Machine learning ,computer.software_genre ,computer - Published
- 2019
4. The Impacts of Chinese Wind Farms on Climate
- Author
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Rui Chang, Zongci Zhao, Yong Luo, and Hong-Wei Sun
- Subjects
Atmospheric Science ,Geophysics ,010504 meteorology & atmospheric sciences ,Space and Planetary Science ,020209 energy ,0202 electrical engineering, electronic engineering, information engineering ,Earth and Planetary Sciences (miscellaneous) ,Environmental science ,02 engineering and technology ,01 natural sciences ,0105 earth and related environmental sciences - Published
- 2018
5. Sensitivity of a Simulated Squall Line During Southern China Monsoon Rainfall Experiment to Parameterization of Microphysics
- Author
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Zongci Zhao, Qifeng Qian, Yanluan Lin, Xi Liu, Yali Luo, Yong Luo, and Xi Zhao
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Microphysics ,Evaporation ,010502 geochemistry & geophysics ,Monsoon ,Snow ,01 natural sciences ,Geophysics ,Southern china ,Space and Planetary Science ,Climatology ,Earth and Planetary Sciences (miscellaneous) ,Environmental science ,Relative humidity ,Sensitivity (control systems) ,Squall line ,0105 earth and related environmental sciences - Published
- 2018
6. Recently amplified arctic warming has contributed to a continual global warming trend
- Author
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Xin Chen, Ying Xu, Jiansong Zhang, Jianbin Huang, Yao Yao, Lei Wang, Xiangdong Zhang, Mingju Hao, Yanluan Lin, Yong Luo, Suping Nie, Zongci Zhao, Qiyi Zhang, and Yizhou Yin
- Subjects
010504 meteorology & atmospheric sciences ,Global warming ,Extinction risk from global warming ,Climate change ,Empirical orthogonal functions ,Global warming hiatus ,Environmental Science (miscellaneous) ,Hiatus ,010502 geochemistry & geophysics ,01 natural sciences ,Rate of increase ,Arctic ,Climatology ,Environmental science ,Social Sciences (miscellaneous) ,0105 earth and related environmental sciences - Abstract
The existence and magnitude of the recently suggested global warming hiatus, or slowdown, have been strongly debated1–3. Although various physical processes4–8 have been examined to elucidate this phenomenon, the accuracy and completeness of observational data that comprise global average surface air temperature (SAT) datasets is a concern9,10. In particular, these datasets lack either complete geographic coverage or in situ observations over the Arctic, owing to the sparse observational network in this area 9 . As a consequence, the contribution of Arctic warming to global SAT changes may have been underestimated, leading to an uncertainty in the hiatus debate. Here, we constructed a new Arctic SAT dataset using the most recently updated global SATs 2 and a drifting buoys based Arctic SAT dataset 11 through employing the ‘data interpolating empirical orthogonal functions’ method 12 . Our estimate of global SAT rate of increase is around 0.112 °C per decade, instead of 0.05 °C per decade from IPCC AR5 1 , for 1998–2012. Analysis of this dataset shows that the amplified Arctic warming over the past decade has significantly contributed to a continual global warming trend, rather than a hiatus or slowdown. The Arctic is under-represented in surface temperature datasets and this could affect estimates of global warming. A new dataset with greater coverage of the Arctic shows a higher warming rate of 0.112 °C per decade compared to 0.005 °C from IPCC AR5.
- Published
- 2017
7. Improved decadal climate prediction in the North Atlantic using EnOI-assimilated initial condition
- Author
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Xiaoge Xin, Min Wei, Yong Luo, Zongci Zhao, Qingquan Li, Zhenyu Han, and Wei Zhou
- Subjects
Coupled model intercomparison project ,geography ,Multidisciplinary ,geography.geographical_feature_category ,010504 meteorology & atmospheric sciences ,Simple Ocean Data Assimilation ,Meteorology ,Initialization ,Forecast skill ,010502 geochemistry & geophysics ,01 natural sciences ,Latitude ,Sea surface temperature ,Climatology ,Sea ice ,Environmental science ,Initial value problem ,0105 earth and related environmental sciences - Abstract
Decadal prediction experiments of Beijing Climate Center climate system model version 1.1 (BCC-CSM1.1) participated in Coupled Model Intercomparison Project Phase 5 (CMIP5) had poor skill in extratropics of the North Atlantic, the initialization of which was done by relaxing modeled ocean temperature to the Simple Ocean Data Assimilation (SODA) reanalysis data. This study aims to improve the prediction skill of this model by using the assimilation technique in the initialization. New ocean data are firstly generated by assimilating the sea surface temperature (SST) of the Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) dataset to the ocean model of BCC-CSM1.1 via Ensemble Optimum Interpolation (EnOI). Then a suite of decadal re-forecasts launched annually over the period 1961-2005 is carried out with simulated ocean temperature restored to the assimilated ocean data. Comparisons between the re-forecasts and previous CMIP5 forecasts show that the re-forecasts are more skillful in mid-to-high latitude SST of the North Atlantic. Improved prediction skill is also found for the Atlantic multi-decadal oscillation (AMO), which is consistent with the better skill of Atlantic meridional overturning circulation (AMOC) predicted by the re-forecasts. We conclude that the EnOI assimilation generates better ocean data than the SODA reanalysis for initializing decadal climate prediction of BCC-CSM1.1 model.
- Published
- 2017
8. Multiscale combination of climate model simulations and proxy records over the last millennium
- Author
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Yong Luo, Qinhua Tian, Suping Nie, Zongci Zhao, Pei Xing, Xin Chen, and Jianbin Huang
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Meteorology ,Power spectral analysis ,Northern Hemisphere ,010502 geochemistry & geophysics ,01 natural sciences ,Proxy (climate) ,Hilbert–Huang transform ,Climatology ,Environmental science ,Climate model ,Scaling ,Image resolution ,0105 earth and related environmental sciences - Abstract
To highlight the compatibility of climate model simulation and proxy reconstruction at different timescales, a timescale separation merging method combining proxy records and climate model simulations is presented. Annual mean surface temperature anomalies for the last millennium (851–2005 AD) at various scales over the land of the Northern Hemisphere were reconstructed with 2° × 2° spatial resolution, using an optimal interpolation (OI) algorithm. All target series were decomposed using an ensemble empirical mode decomposition method followed by power spectral analysis. Four typical components were obtained at inter-annual, decadal, multidecadal, and centennial timescales. A total of 323 temperature-sensitive proxy chronologies were incorporated after screening for each component. By scaling the proxy components using variance matching and applying a localized OI algorithm to all four components point by point, we obtained merged surface temperatures. Independent validation indicates that the most significant improvement was for components at the inter-annual scale, but this became less evident with increasing timescales. In mid-latitude land areas, 10–30% of grids were significantly corrected at the inter-annual scale. By assimilating the proxy records, the merged results reduced the gap in response to volcanic forcing between a pure reconstruction and simulation. Difficulty remained in verifying the centennial information and quantifying corresponding uncertainties, so additional effort should be devoted to this aspect in future research.
- Published
- 2017
9. Projection of heat waves over China for eight different global warming targets using 12 CMIP5 models
- Author
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Ying Xu, Jianbin Huang, Xiaojun Guo, Zongci Zhao, and Yong Luo
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Global temperature ,Global warming ,Heat wave ,010502 geochemistry & geophysics ,Atmospheric sciences ,01 natural sciences ,General Circulation Model ,Climatology ,Environmental science ,Mean radiant temperature ,Projection (set theory) ,Intensity (heat transfer) ,0105 earth and related environmental sciences - Abstract
Simulation and projection of the characteristics of heat waves over China were investigated using 12 CMIP5 global climate models and the CN05.1 observational gridded dataset. Four heat wave indices (heat wave frequency, longest heat wave duration, heat wave days, and high temperature days) were adopted in the analysis. Evaluations of the 12 CMIP5 models and their ensemble indicated that the multi-model ensemble could capture the spatiotemporal characteristics of heat wave variation over China. The inter-decadal variations of heat waves during 1961–2005 can be well simulated by multi-model ensemble. Based on model projections, the features of heat waves over China for eight different global warming targets (1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, and 5.0 °C) were explored. The results showed that the frequency and intensity of heat waves would increase more dramatically as the global mean temperature rise attained higher warming targets. Under the RCP8.5 scenario, the four China-averaged heat wave indices would increase from about 1.0 times/year, 2.5, 5.4, and 13.8 days/year to about 3.2 times/year, 14.0, 32.0, and 31.9 days/year for 1.5 and 5.0 °C warming targets, respectively. Those regions that suffer severe heat waves in the base climate would experience the heat waves with greater frequency and severity following global temperature rise. It is also noteworthy that the areas in which a greater number of severe heat waves occur displayed considerable expansion. Moreover, the model uncertainties exhibit a gradual enhancement with projected time extending from 2006 to 2099.
- Published
- 2016
10. Is Global Strong Wind Declining?
- Author
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Ying Jiang, Yong Luo, and Zongci Zhao
- Subjects
Atmospheric Science ,Global and Planetary Change ,Hot topics ,Meteorology ,Global warming ,Environmental science ,Management, Monitoring, Policy and Law ,Environmental Sciences - Abstract
To mitigate global warming, the call for usingcleanenergy,developinglow-carboneconomyandini-tiatinggreenenvironmentalprotectionhasneverbeenlouder. One of the hot topics, which has receivedwidespreadattentionsintheworld,isthedevelopmentandutilizationofwindenergy.Atthesametime,someoftheclimatechangestudiesfocusonthechangesinglobalwindspeedsandstrongwindswhicharerelatedtowindenergyutilization. Theissues,whicharethesubjects of these studies, can be summarized in thefollowing.
- Published
- 2017
11. Narrowing the spread in CMIP5 model projections of air-sea CO2 fluxes
- Author
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Yong Luo, Zongci Zhao, Lei Wang, and Jianbin Huang
- Subjects
Coupled model intercomparison project ,Multidisciplinary ,010504 meteorology & atmospheric sciences ,Climatology ,Carbon uptake ,Environmental science ,010502 geochemistry & geophysics ,01 natural sciences ,Pacific ocean ,0105 earth and related environmental sciences - Abstract
Large spread appears in the projection of air-sea CO2 fluxes using the latest simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Here, two methods are applied to narrow this spread in 13 CMIP5 models. One method involves model selection based on the ability of models to reproduce the observed air-sea CO2 fluxes from 1980 to 2005. The other method involves constrained estimation based on the strong relationship between the historical and future air-sea CO2 fluxes. The estimated spread of the projected air-sea CO2 fluxes is effectively reduced by using these two approaches. These two approaches also show great agreement in the global ocean and three regional oceans of the equatorial Pacific Ocean, the North Atlantic Ocean and the Southern Ocean, including the average state and evolution characteristics. Based on the projections of the two approaches, the global ocean carbon uptake will increase in the first half of the 21st century then remain relatively stable and is projected to be 3.68–4.57 PgC/yr at the end of 21st century. The projections indicate that the increase in the CO2 uptake by the oceans will cease at the year of approximately 2070.
- Published
- 2016
12. Comparison of Monthly Temperature Extremes Simulated by CMIP3 and CMIP5 Models
- Author
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Yong Luo, Jianbin Huang, Zongci Zhao, and Yao Yao
- Subjects
Atmospheric Science ,Coupled model intercomparison project ,Scale (ratio) ,Climatology ,Environmental science ,Climate change ,Atmospheric sciences ,Annual cycle - Abstract
The extreme monthly-mean temperatures simulated by 28 models in the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are evaluated and compared with those from 24 models in the third phase of the Coupled Model Intercomparison Project (CMIP3). Comparisons with observations and reanalyses indicate that the models from both CMIP3 and CMIP5 perform well in simulating temperature extremes, which are expressed as 20-yr return values. When the climatological annual cycle is removed, the ensemble spread in CMIP5 is smaller than that in CMIP3. Benefitting from a higher resolution, the CMIP5 models perform better at simulating extreme temperatures on the local gridcell scale. The CMIP5 representative concentration pathway (RCP4.5) and CMIP3 B1 experiments project a similar change pattern in the near future for both warm and cold extremes, and the pattern is in agreement with that of the seasonal extremes. By the late twenty-first century, the changes in monthly temperature extremes projected under the three CMIP3 (B1, A1B, and A2) and two CMIP5 (RCP4.5 and RCP8.5) scenarios generally follow the changes in climatological annual cycles, which is consistent with previous studies on daily extremes. Compared with the CMIP3 ensemble, the CMIP5 ensemble shows a larger intermodel uncertainty with regard to the change in cold extremes in snow-covered regions. Enhanced changes in extreme temperatures that exceed the global mean warming are found in regions where the retreat of snow (or the soil moisture feedback effect) plays an important role, confirming the findings for daily temperature extremes.
- Published
- 2013
13. Maximum wind speed changes over China
- Author
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Zongci Zhao, Yong Luo, and Ying Jiang
- Subjects
Atmospheric Science ,IPCC Fourth Assessment Report ,General Circulation Model ,Typhoon ,Climatology ,Cold wave ,Environmental science ,Ocean Engineering ,East Asia ,Monsoon ,China ,Wind speed - Abstract
In this study, the maximum wind speed (WSmax) changes across China from 1956 to 2004 were analyzed based on observed station data, and the changes of WSmax for 2046–2065 and 2080–2099 are projected using three global climate models (GFDL_CM2_0, CCCMA_CGCM3, and MRI_CGCM2) that have participated in the IPCC Fourth Assessment Report (AR4). The observed annual and seasonal WSmax and the frequency of gale days showed obvious declining trends. The annual WSmax decreased by approximately 1.46 m s−1 per decade, and the number of gale days decreased by 3.0 days per decade from 1956 to 2004. The amplitudes of the annual and seasonal WSmax decreases are larger than those of the annual and seasonal average wind speeds (WSavg). The weakening of the East Asian winter and summer monsoons is the cause for the distinct decreases of both WSmax and WSavg over the whole China. The decrease of WSmax in the southeast coastal areas of China is related to the reduced intensity of cold waves in China and the decreasing number (and decreasing intensity) of land-falling typhoons originated in the Northwest Pacific Ocean.
- Published
- 2013
14. Recent progress in studies of climate change in China
- Author
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Guoli Tang, Yihui Ding, Ying Xu, Zongci Zhao, Jingyun Zheng, Tongwen Wu, and Guoyu Ren
- Subjects
Atmospheric Science ,Greenhouse gas ,Cloud cover ,Climatology ,Climate change ,Environmental science ,Climate model ,Storm ,Precipitation ,Tropical cyclone ,Climate change in China - Abstract
An overview of basic research on climate change in recent years in China is presented. In the past 100 years in China, average annual mean surface air temperature (SAT) has increased at a rate ranging from 0.03°C (10 yr)−1 to 0.12°C (10 yr)−1. This warming is more evident in northern China and is more significant in winter and spring. In the past 50 years in China, at least 27% of the average annual warming has been caused by urbanization. Overall, no significant trends have been detected in annual and/or summer precipitation in China on a whole for the past 100 years or 50 years. Both increases and decreases in frequencies of major extreme climate events have been observed for the past 50 years. The frequencies of extreme temperature events have generally displayed a consistent pattern of change across the country, while the frequencies of extreme precipitation events have shown only regionally and seasonally significant trends. The frequency of tropical cyclone landfall decreased slightly, but the frequency of sand/dust storms decreased significantly. Proxy records indicate that the annual mean SAT in the past a few decades is the highest in the past 400–500 years in China, but it may not have exceeded the highest level of the Medieval Warm Period (1000–1300 AD). Proxy records also indicate that droughts and floods in eastern China have been characterized by continuously abnormal rainfall periods, with the frequencies of extreme droughts and floods in the 20th century most likely being near the average levels of the past 2000 years. The attribution studies suggest that increasing greenhouse gas (GHG) concentrations in the atmosphere are likely to be a main factor for the observed surface warming nationwide. The Yangtze River and Huaihe River basins underwent a cooling trend in summer over the past 50 years, which might have been caused by increased aerosol concentrations and cloud cover. However, natural climate variability might have been a main driver for the mean and extreme precipitation variations observed over the past century. Climate models generally perform well in simulating the variations of annual mean SAT in China. They have also been used to project future changes in SAT under varied GHG emission scenarios. Large uncertainties have remained in these model-based projections, however, especially for the projected trends of regional precipitation and extreme climate events.
- Published
- 2012
15. Projections of wind changes for 21st century in China by three regional climate models
- Author
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Yong Luo, Zongci Zhao, Ying Jiang, Yinlong Xu, Ying Shi, and Jinhong Zhu
- Subjects
Meteorology ,business.industry ,Geography, Planning and Development ,Mesoscale meteorology ,Climate change ,Distribution (economics) ,Wind speed ,Atmospheric research ,General Circulation Model ,Climatology ,General Earth and Planetary Sciences ,Environmental science ,Climate model ,business ,China - Abstract
This paper examines the capability of three regional climate models (RCMs), i.e., RegCM3 (the International Centre for Theoretical Physics Regional Climate Model), PRECIS (Providing Regional Climates for Impacts Studies) and CMM5 (the fifth-generation Pennsylvania State University-the National Center for Atmospheric Research of USA, NCAR Mesoscale Model) to simulate the near-surface-layer winds (10 m above surface) all over China in the late 20th century. Results suggest that like global climate models (GCMs), these RCMs have the certain capability of imitating the distribution of mean wind speed and fail to simulate the greatly weakening wind trends for the past 50 years in the country. However, RCMs especially RegCM3 have the better capability than that of GCMs to simulate the distribution and change feature of mean wind speed. In view of their merits, these RCMs were used to project the variability of near-surface-layer winds over China for the 21st century. The results show that 1) summer mean wind speed for 2020–2029 will be lower compared to those in 1990–1999 in most area of China; 2) annual and winter mean wind speed for 2081–2100 will be lower than those of 1971–1990 in the whole China; and 3) the changes of summer mean wind speed for 2081–2100 are uncertain. As a result, although climate models are absolutely necessary for projecting climate change to come, there are great uncertainties in projections, especially for wind speed, and these issues need to be further explored.
- Published
- 2010
16. Changes in wind speed over China during 1956–2004
- Author
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Ying Jiang, Shuwang Tao, Zongci Zhao, and Yong Luo
- Subjects
Atmospheric Science ,geography ,Wind power ,Plateau ,geography.geographical_feature_category ,integumentary system ,business.industry ,Global warming ,Maximum sustained wind ,Monsoon ,Atmospheric sciences ,Wind speed ,Prevailing winds ,Climatology ,Environmental science ,East Asia ,business - Abstract
Based on two observational data sets in China from 1956 to 2004, wind speed changes are analyzed. The annual mean wind speed (MWS), days of strong wind (SWDs), and maximum wind (MW) all show declining trends over broad areas of China. Only in the southeastern Tibetan Plateau and the regions from the Great Bend of the Yellow River southward to Yunnan and Guangxi Provinces wind speeds are not significantly reduced, but rather, in partial, these regions’ winds speeds are slightly increased. The regions with declining trends match the areas with relatively strong observed winds and the regions without significant declining trends match the areas with light observed winds. In the meantime, the regions with relatively strong winds correspond to areas of reduced days of SWDs. Trends for both increasing intensities and for the number of days of light winds both impact the installation of wind energy facilities. These may be advantageous to the development of wind energy in different regions. Urbanization, the change of anemometers, or relocation of stations are factors that are mildly responsible for the decreasing trend of MWS. The main reason for the decreasing trend is that under the background of global warming, the contrasts of the sea level pressure, and near-surface temperature between the Asian continent and the Pacific Ocean have become significantly smaller, and the east Asian trough has shifted eastward and northward, and has weakened as well. Both East Asian winter and summer monsoons are decreasing, and all of these impacts have resulted in declines of MWS in China.
- Published
- 2009
17. Detection, causes and projection of climate change over China: An overview of recent progress
- Author
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Zongci Zhao, Yong Luo, Jin Zhang, Guoyu Ren, Yihui Ding, Qiaoping Li, and Ying Xu
- Subjects
Atmospheric Science ,Extreme weather ,Global temperature ,Climatology ,Global warming ,Climate change ,Environmental science ,East Asia ,Climate model ,Monsoon ,Climate change in China - Abstract
This article summarizes the main results and findings of studies conducted by Chinese scientists in the past five years. It is shown that observed climate change in China bears a strong similarity with the global average. The country-averaged annual mean surface air temperature has increased by 1.1°C over the past 50 years and 0.5–0.8°C over the past 100 years, slightly higher than the global temperature increase for the same periods. Northern China and winter have experienced the greatest increases in surface air temperature. Although no significant trend has been found in country-averaged annual precipitation, interdecadal variability and obvious trends on regional scales are detectable, with northwestern China and the mid and lower Yangtze River basin having undergone an obvious increase, and North China a severe drought. Some analyses show that frequency and magnitude of extreme weather and climate events have also undergone significant changes in the past 50 years or so. Studies of the causes of regional climate change through the use of climate models and consideration of various forcings, show that the warming of the last 50 years could possibly be attributed to an increased atmospheric concentration of greenhouse gases, while the temperature change of the first half of the 20th century may be due to solar activity, volcanic eruptions and sea surface temperature change. A significant decline in sunshine duration and solar radiation at the surface in eastern China has been attributed to the increased emission of pollutants. Projections of future climate by models of the NCC (National Climate Center, China Meteorological Administration) and the IAP (Institute of Atmospheric Physics, Chinese Academy of Sciences), as well as 40 models developed overseas, indicate a potential significant warming in China in the 21st century, with the largest warming set to occur in winter months and in northern China. Under varied emission scenarios, the country-averaged annual mean temperature is projected to increase by 1.5–2.1°C by 2020, 2.3–3.3°C by 2050, and by 3.9–6.0°C by 2100, in comparison to the 30-year average of 1961–1990. Most models project a 10%–12% increase in annual precipitation in China by 2100, with the trend being particularly evident in Northeast and Northwest China, but with parts of central China probably undergoing a drying trend. Large uncertainty exists in the projection of precipitation, and further studies are needed. Furthermore, anthropogenic climate change will probably lead to a weaker winter monsoon and a stronger summer monsoon in eastern Asia.
- Published
- 2007
18. Changes in Extremely Hot Summers over the Global Land Area under Various Warming Targets
- Author
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Zongci Zhao, Yong Luo, Yao Yao, Lei Wang, and Jianbin Huang
- Subjects
Coupled model intercomparison project ,Multidisciplinary ,Ecology ,Science ,Climate Change ,Global warming ,Northern Hemisphere ,Climate change ,Cru ,Models, Theoretical ,Atmospheric sciences ,Global Warming ,Latitude ,Environmental science ,Medicine ,Seasons ,Mean radiant temperature ,Southern Hemisphere ,Research Article - Abstract
Summer temperature extremes over the global land area were investigated by comparing 26 models of the fifth phase of the Coupled Model Intercomparison Project (CMIP5) with observations from the Goddard Institute for Space Studies (GISS) and the Climate Research Unit (CRU). Monthly data of the observations and models were averaged for each season, and statistics were calculated for individual models before averaging them to obtain ensemble means. The summers with temperature anomalies (relative to 1951–1980) exceeding 3σ (σ is based on the local internal variability) are defined as “extremely hot”. The models well reproduced the statistical characteristics evolution, and partly captured the spatial distributions of historical summer temperature extremes. If the global mean temperature increases 2°C relative to the pre-industrial level, “extremely hot” summers are projected to occur over nearly 40% of the land area (multi-model ensemble mean projection). Summers that exceed 5σ warming are projected to occur over approximately 10% of the global land area, which were rarely observed during the reference period. Scenarios reaching warming levels of 3°C to 5°C were also analyzed. After exceeding the 5°C warming target, “extremely hot” summers are projected to occur throughout the entire global land area, and summers that exceed 5σ warming would become common over 70% of the land area. In addition, the areas affected by “extremely hot” summers are expected to rapidly expand by more than 25%/°C as the global mean temperature increases by up to 3°C before slowing to less than 16%/°C as the temperature continues to increase by more than 3°C. The area that experiences summers with warming of 5σ or more above the warming target of 2°C is likely to maintain rapid expansion of greater than 17%/°C. To reduce the impacts and damage from severely hot summers, the global mean temperature increase should remain low.
- Published
- 2015
19. A comparison of signals of regional aerosol-induced forcing in eastern China and the southeastern United States
- Author
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Shaocai Yu, Zongci Zhao, and V. K. Saxena
- Subjects
geography ,geography.geographical_feature_category ,Global change ,Forcing (mathematics) ,Atmospheric temperature ,Aerosol ,Trend analysis ,Geophysics ,Volcano ,Climatology ,General Earth and Planetary Sciences ,Environmental science ,Greenhouse effect ,China - Abstract
This paper compares the temperature change patterns and the signals of regional aerosol-induced forcing in eastern China and the southeastern US during the latter half of the twentieth century. Both regions show decreasing trends in the mean maximum temperature over recent decades and the cooling effect of Pinatubo volcanic aerosols. In contrast to the southeastern US, we found a slight overall warming trend in eastern China. Our analysis suggests that in addition to greenhouse warming effect, observed high concentrations of absorbing aerosols over eastern China during winter and spring might be one of the major reasons for the observed warming trend.
- Published
- 2001
20. Intercomparison of regional climate simulations of the 1991 summer monsoon in eastern Asia
- Author
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W.-C. Wang, H.-L. Wei, Lai R. Leung, Yong Luo, Zongci Zhao, and Steven J. Ghan
- Subjects
Earth's energy budget ,Atmospheric Science ,Ecology ,Flood myth ,Paleontology ,Soil Science ,Forestry ,Aquatic Science ,Oceanography ,Rainband ,Monsoon ,Geophysics ,Space and Planetary Science ,Geochemistry and Petrology ,Climatology ,Earth and Planetary Sciences (miscellaneous) ,Environmental science ,Climate model ,Precipitation ,Temporal scales ,Earth-Surface Processes ,Water Science and Technology ,Downscaling - Abstract
Regional climate models have become a common research tool for downscaling global climate simulations. To further examine their usefulness for climate studies and the impacts that different physical parameterizations have on the simulations, an intercomparison experiment has been performed where three regional climate models are used to simulate an extreme flood event. Although the dynamical components of the models are almost identical, the physical parameterizations used to represent clouds, radiative transfer, turbulence transport, and surface processes are very different. The models were used to simulate the heavy precipitation during the 1991 summer which caused severe flooding over the Yangtze River in China. This extreme event is selected to highlight the differences among regional climate models. Results from the intercomparison show that all models simulated the gross flood conditions reasonably well, although each model reproduced the observed rainband to varying degrees, and significant differences are found in the simulated energy and hydrological cycles, especially over cloudy areas. Through detailed analyses of model simulations at different spatial and temporal scales, several reasons are found to cause the departure of model simulations from each other. These include the simulation of the amount and vertical distribution of clouds, the treatment of cloud-radiative feedbacks, and the representation of land surface processes. This study suggests that aspects other than surface temperature and precipitation of the regional climate simulations need to be more carefully evaluated. One specially important evaluation criterion is the radiation balance which has serious implications for long-term climate simulations.
- Published
- 1999
21. WARMING IN EAST ASIA AS A CONSEQUENCE OF INCREASING GREENHOUSE GASES
- Author
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Dong-Kyou Lee, Zongci Zhao, and Akio Kitoh
- Subjects
Environmental protection ,Greenhouse gas ,Environmental science ,East Asia - Published
- 2008
22. Projection of precipitation extremes for eight global warming targets by 17 CMIP5 models
- Author
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Yong Luo, Jianbin Huang, Zongci Zhao, Ying Xu, and Xiaojun Guo
- Subjects
Coupled model intercomparison project ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,Global temperature ,Baseline (sea) ,Global warming ,010502 geochemistry & geophysics ,Spatial distribution ,01 natural sciences ,Natural hazard ,Climatology ,Earth and Planetary Sciences (miscellaneous) ,Environmental science ,Precipitation ,Mean radiant temperature ,0105 earth and related environmental sciences ,Water Science and Technology - Abstract
Based on the historical and future outputs of 17 coupled model intercomparison project phase 5 (CMIP5) models, simulation of the precipitation extremes in China was evaluated under baseline climate condition compared to a gridded daily observation dataset CN05.1. The variations in precipitation extremes for eight global warming targets were also projected. The 17 individual models and the multi-model ensemble accurately reproduced the spatial distribution of precipitation extremes, although they were limited in their ability to capture the temporal characteristics. A notable dry bias existed in Southeast China, while a wet bias was present in North and Northwest China. The precipitation extremes in China were projected to be more frequent and more intense as global temperature rise reached the 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, and 5.0 °C warming targets. The projected percentage changes in the annual number of days with precipitation >50 mm (R50) and total precipitation during days in which the daily precipitation exceeds the 99th percentile (R99p) are projected to increase by 25.81 and 69.14 % relative to the baseline climate for a 1.5 °C warming target, and by 95.52 and 162.00 % for a 4.0 °C warming target, respectively. As the global mean temperature rise increased from 1.5 to 5 °C, the subregions considerably affected by the East Asian summer monsoon (e.g., Southwest China, South China, and the Yangtze-Huai River Valley) were projected to experience a more dramatic increase in extreme precipitation events, in both number of days and intensity, while North and Northwest China were projected to suffer from relatively slight increases. The model uncertainties in the projected precipitation extremes in China by 17 CMIP5 models increase as global temperature rise increases.
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