Evaluating the Drought-Monitoring Utility of GPM and TRMM Precipitation Products over Mainland China

The purpose of this study was to evaluate the applicability of medium and long-term satellite rainfall estimation (SRE) precipitation products for drought monitoring over mainland China. Four medium and long-term (19 a) SREs, i.e., the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) 3B42V7, the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement V06 post-real time Final Run precipitation products (IMF6), Global Rainfall Map in Near-real-time Gauge-calibrated Rainfall Product (GSMaP_Gauge_NRT) for product version 6 (GNRT6) and gauge-adjusted Global Satellite Mapping of Precipitation V6 (GGA6) were considered. The accuracy of the four SREs was first evaluated against ground observation precipitation data. The Standardized Precipitation Evapotranspiration Index (SPEI) based on four SREs was then compared at multiple temporal and spatial scales. Finally, four typical drought-influenced regions, i.e., the Northeast China Plain (NEC), Huang-Huai-Hai Plain (3HP), Yunnan–Guizhou Plateau (YGP) and South China (SC) were chosen as examples to analyze the ability of four SREs to capture the temporal and spatial changes of typical drought events. The results show that compared with GNRT6, the precipitation estimated by GGA6, IMF6 and 3B42V7 are in better agreement with the ground observation results. In the evaluation using SPEI, the four SREs performed well in eastern China but have large uncertainty in western China. GGA6 and IMF6 perform superior to GNRT6 and 3B42V7 in estimating SPEI and identifying typical drought events and behave almost the same. In general, GPM precipitation products have great potential to substitute TRMM precipitation products for drought monitoring. Both GGA6 and IMF6 are suitable for historical drought analysis. Due to the shorter time latency of data release and good performance in the eastern part of mainland China, GNRT6 and GGA6 might play a role for near real-time drought monitoring in the area. The results of this research will provide reference for the application of the SREs for drought monitoring in the GPM era.

[1]  Dawen Yang,et al.  Accuracy and spatio-temporal variation of high resolution satellite rainfall estimate over the Ganjiang River Basin , 2013 .

[2]  M. Almazroui.  Calibration of TRMM rainfall climatology over Saudi Arabia during 1998–2009 , 2011 .

[3]  Y. Hong,et al.  Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales , 2015 .

[4]  F. Pappenberger,et al.  Identification and simulation of space-time variability of past hydrological drought events in the Limpopo River basin, southern Africa , 2014 .

[5]  A. Dai.  Increasing drought under global warming in observations and models , 2013 .

[6]  Yayoi Harada,et al.  The JRA-55 Reanalysis: Representation of Atmospheric Circulation and Climate Variability , 2016 .

[7]  K. Trenberth.  Changes in precipitation with climate change , 2011 .

[8]  S. Vicente‐Serrano,et al.  Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring , 2014 .

[9]  Zhiyong Wu,et al.  Evaluating the accuracy of MSWEP V2.1 and its performance for drought monitoring over mainland China , 2019, Atmospheric Research.

[10]  Yue-Ping Xu,et al.  Drought Monitoring Utility using Satellite-Based Precipitation Products over the Xiang River Basin in China , 2019, Remote. Sens..

[11]  Ghaffar Ali.  Climate change and associated spatial heterogeneity of Pakistan: Empirical evidence using multidisciplinary approach. , 2018, The Science of the total environment.

[12]  Huiling Yuan,et al.  Evaluation of the latest satellite–gauge precipitation products and their hydrologic applications over the Huaihe River basin , 2016 .

[13]  P. Ciais,et al.  The impacts of climate change on water resources and agriculture in China , 2010, Nature.

[14]  Menghao Wang,et al.  Preliminary Utility of the Retrospective IMERG Precipitation Product for Large-Scale Drought Monitoring over Mainland China , 2020, Remote. Sens..

[15]  Michael J. Hayes,et al.  The effect of the length of record on the standardized precipitation index calculation , 2005 .

[16]  Yan Huang,et al.  A comprehensive drought monitoring method integrating MODIS and TRMM data , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[17]  Dawen Yang,et al.  Spatio-temporal variation of drought in China during 1961–2012: A climatic perspective , 2015 .

[18]  Zhenchun Hao,et al.  Evaluation of satellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau , 2014 .

[19]  E. Wood,et al.  Little change in global drought over the past 60 years , 2012, Nature.

[20]  Anzhi Wang,et al.  Comprehensive precipitation evaluation of TRMM 3B42 with dense rain gauge networks in a mid-latitude basin, northeast, China , 2016, Theoretical and Applied Climatology.

[21]  Yaning Chen,et al.  Spatial and temporal variability of drought in the arid region of China and its relationships to teleconnection indices , 2015 .

[22]  Amir AghaKouchak,et al.  Global trends and patterns of drought from space , 2014, Theoretical and Applied Climatology.

[23]  Richard R. Heim,et al.  Are droughts becoming more frequent or severe in China based on the Standardized Precipitation Evapotranspiration Index: 1951–2010? , 2011 .

[24]  Shamsuddin Shahid,et al.  Evaluation of remotely sensed precipitation sources for drought assessment in Semi-Arid Iraq , 2020 .

[25]  C. Kobayashi,et al.  The JRA-55 Reanalysis: General Specifications and Basic Characteristics , 2015 .

[26]  Hiroshi Uyeda,et al.  Use of TRMM in determining the climatic characteristics of rainfall over Bangladesh , 2007 .

[27]  Chong-yu Xu,et al.  Utility of integrated IMERG precipitation and GLEAM potential evapotranspiration products for drought monitoring over mainland China , 2021 .

[28]  Q. Tong,et al.  Studying drought phenomena in the Continental United States in 2011 and 2012 using various drought indices , 2017 .

[29]  Yi Li,et al.  Spatial comparability of drought characteristics and related return periods in mainland China over 1961–2013 , 2017 .

[30]  J. Dracup,et al.  The Quantification of Drought: An Evaluation of Drought Indices , 2002 .

[31]  Y. Lian,et al.  Drought monitoring utility of satellite-based precipitation products across mainland China , 2019, Journal of Hydrology.

[32]  Jun Li,et al.  Response of net primary production to land use and land cover change in mainland China since the late 1980s. , 2018, The Science of the total environment.

[33]  Tie Liu,et al.  Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China , 2016, Remote. Sens..

[34]  Eric F. Wood,et al.  Evaluation of the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) for assessment of large-scale meteorological drought , 2015 .

[35]  Yan Shen,et al.  Validation and comparison of a new gauge‐based precipitation analysis over mainland China , 2016 .

[36]  Yi Li,et al.  Drought evolution, severity and trends in mainland China over 1961-2013. , 2018, The Science of the total environment.

[37]  V. Singh,et al.  A review of drought concepts , 2010 .

[38]  Misako Kachi,et al.  Global Satellite Mapping of Precipitation (GSMaP) Products in the GPM Era , 2020 .

[39]  José Agustín Breña-Naranjo,et al.  The Use of TRMM 3B42 Product for Drought Monitoring in Mexico , 2016 .

[40]  K. Venkataraman,et al.  21st century drought outlook for major climate divisions of Texas based on CMIP5 multimodel ensemble: Implications for water resource management , 2016 .

[41]  Jun Li,et al.  Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015 , 2018, Remote. Sens..

[42]  Xiaohong Chen,et al.  Responses of the hydrological regime to variations in meteorological factors under climate change of the Tibetan plateau , 2018, Atmospheric Research.