Drought monitoring in Yunnan Province based on a TRMM precipitation product

Yu, Yuanhe; Wang, Jinliang; Feng, Chao; Deng, Huan; Chen, Sheng

doi:10.1007/s11069-020-04276-2

Cited by 38 publications

(19 citation statements)

References 36 publications

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“…In particular, gridded precipitation datasets play an important role in evaluating and assessing the performance of global Earth system models (ESMs) (e.g., [5][6][7]) used for projections of future climate change [8]. Other examples of scientific applications of global precipitation datasets include the analysis of heavy rainfall over the Asian-Australian monsoon region [9], drought monitoring in China [10], or the diagnosis of rainfall over South America during strong El Niño-Southern Oscillation (ENSO) events [11].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

Haßler

Lauer

2021

Atmosphere

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Precipitation is a key component of the hydrological cycle and one of the most important variables in weather and climate studies. Accurate and reliable precipitation data are crucial for determining climate trends and variability. In this study, eleven different precipitation datasets are compared, six reanalysis and five observational datasets, including the reanalysis datasets ERA5 and WFDE5 from the ECMWF family, to quantify the differences between the widely used precipitation datasets and to identify their particular strengths and shortcomings. The comparisons are focused on the common time period 1983 through 2016 and on monthly, seasonal, and inter-annual times scales in regions representing different precipitation regimes, i.e., the Tropics, the Pacific Inter Tropical Convergence Zone (ITCZ), Central Europe, and the South Asian Monsoon region. For the analysis, satellite-gauge precipitation data from the Global Precipitation Climatology Project (GPCP-SG) are used as a reference. The comparison shows that ERA5 and ERA5-Land are a clear improvement over ERA-Interim and show in most cases smaller biases than the other reanalysis datasets (e.g., around 13% high bias in the Tropics compared to 17% for MERRA-2 and 36% for JRA-55). ERA5 agrees well with observations for Central Europe and the South Asian Monsoon region but underestimates very low precipitation rates in the Tropics. In particular, the tropical ocean remains challenging for reanalyses with three out of four products overestimating precipitation rates over the Atlantic and Indian Ocean.

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Section: Introductionmentioning

confidence: 99%

Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

Haßler

Lauer

2021

Atmosphere

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“…The region has high altitudes, complex and diverse terrain. Due to global warming, Yunnan has experienced significant climate changes in recent decades [30]. It leads to the frequent occurrence of extreme climate in Yunnan, which has caused considerable losses of the agricultural production in the whole province.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

Yan

Cai

et al. 2021

Atmosphere

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Global warming is increasing the frequency and intensity of extreme weather events around the world. The extreme climate in plateau and mountainous areas is sensitive and fragile. Based on the software Rclimdex 1.0, the spatio-temporal variation characteristics of 27 extreme climate indices at 120 meteorological stations were calculated in Yunnan from 1960 to 2019. The results show that the extreme temperature is rising, and the warming rate at night is higher than that in the daytime. It showed a trend of warming and drying, and precipitation was concentrated into more intense bursts. Extreme temperature cold indices (TX10p, TN10p, FD0, ID0, and CSDI) were negatively correlated with extreme precipitation indices (R × 5day, PRCPTOT, R10 mm, R20 mm, and R25 mm). Extreme temperature warmth indices (TX90p and TN90p) were positively correlated with extreme precipitation indices (R × 5day, CWD, PRCPTOT, R10 mm, R20 mm, and R25 mm). The change rate of extreme temperature does not increase linearly with altitude. The increase in middle-altitude and high-altitude areas is higher than that in low-altitude areas. Compared with ENSO and AO, NAO is a vital circulation pattern affecting the extreme climate in Yunnan. The influence of NAO on Yunnan’s extreme climate indices is most significant in the current month and the second month that follows. NAO was negatively correlated with extreme temperature warm indices (TN90p, TX90p, SU25, and TR20). NAO positively correlates with the extreme cold temperature indices (TN10p and TX10p). Except that ENSO has a significant effect on CDD, the effect of the general circulation patterns on the extreme temperature indices was more significant than that on the extreme precipitation indices in Yunnan. The results of this study are helpful to further understand and predict the characteristics of extreme climatic events and the factors affecting their geographical locations and atmospheric circulation patterns in Yunnan.

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“…Moreover, the heterogeneity of precipitation affected the spatial and temporal distribution of droughts (Wang et al 2021). The downscaled precipitation was used to improve the drought monitoring capabilities of satellite precipitation data due to coarse spatial resolutions for most precipitation products could not characterize the changes on droughts (Yu et al 2020b).…”

Section: B Contradictions and Limitationsmentioning

confidence: 99%

The Global Pattern and Development Trends and Directions on the Drought Monitoring Research from 1983 to 2020 by Using Bibliometric Analysis

Wang

Zhang

et al. 2022

Bulletin of the American Meteorological Society

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As impacted by climate change and further global warming, drought turns out to be the most frequent meteorological extreme event worldwide, which severely affects agriculture, ecosystem, water management and even human survival. In this study, the global pattern and development trends & directions on drought monitoring were presented based on Web of Science database by conducting a bibliometric analysis from 1983 to 2020. The following conclusions were drawn. (1) The USA and China were found as the most productive and influential nations, accounting for 24.63% and 14.30% in publication outputs and taking up 5023 and 2040 in local citations, respectively. (2) Chinese Academy of Science was reported as the core institution with 5.73% publication outputs and 829 local citations. (3) Remote Sensing of Environment and Remote Sensing were found as the most influential journals and the most productive journals with 1045 local citations and 210 publication outputs, respectively. (4) Agricultural drought profoundly affecting food security was found as the most concerned drought type in the world. The drought monitoring research mainly focus on the research and development of drought index, the response of terrestrial ecosystems to drought, and the trends and dynamics of drought in context of climate change. This study explored key findings, contradictions, and limitations of drought monitoring studies were summarized and explored. In addition, the development trend and research direction of drought monitoring researches in the future were also explored.

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Drought monitoring in Yunnan Province based on a TRMM precipitation product

Cited by 38 publications

References 36 publications

Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

The Global Pattern and Development Trends and Directions on the Drought Monitoring Research from 1983 to 2020 by Using Bibliometric Analysis

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