Evaluation of the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) for assessment of large-scale meteorological drought

Abstract This study analyzes the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) precipitation products for assessment of meteorological drought. Two versions of the TMPA research datasets (3B42V6 and 3B42V7) and one real-time dataset (3B42RTV7) are considered. The TMPA datasets are evaluated against a merged precipitation product which is estimated by merging four non-TMPA global satellite-gauge based datasets (non-TMPA merged). Comparisons are made over global land areas between 50° S and 50° N at monthly and 0.25° spatial resolution from 2000 to 2009 (ten years). All the TMPA precipitation datasets show similar spatial patterns; however quantitatively they disagree considerably, especially over tropical regions. 3B42V7 and 3B42RTV7 show the lowest and highest differences with the non-TMPA merged product, respectively. The Standardized Precipitation Index (SPI) at various time scales (1 month to 12 months) is calculated for each dataset for detecting drought events, with drought defined as when monthly SPI   0.8) for the 2007 southeastern US drought and the lowest ( Our results show that major differences among datasets are found over many sparse gauge density regions which suggests that the skill of the datasets primarily depends on the differential performance of the respective processing algorithms in different geographic and climatic regions, density of the underlying rain-gauge station networks and the quality of the input data used from non-gauge data sources. Even though the 3B42V7 product performs the best, the 3B42V6 product also performs reasonably well during our study period and domain. The 3B42RTV7 real-time data perform the worst and are not comparable with the two TMPA research products, due to lack of corrections from gauge observations. Therefore, caution should be applied when using this product for real-time monitoring of the drought conditions. Our evaluation of the TMPA research products indicates that they can provide useful information for drought monitoring and as input to hydrological modeling applications for assessment of land surface conditions.

[1]  Martha C. Anderson,et al.  Towards an integrated soil moisture drought monitor for East Africa , 2012 .

[2]  D. Wilhite.  Drought as a natural hazard : Concepts and definitions , 2000 .

[3]  M. Blackburn,et al.  Factors contributing to the summer 2003 European heatwave , 2004 .

[4]  Jürgen Vogt,et al.  Monitoring Drought Conditions and Their Uncertainties in Africa Using TRMM Data , 2012 .

[5]  P. Jones,et al.  Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of 1901-96 Monthly Grids of Terrestrial Surface Climate , 2000 .

[6]  P. Thornton,et al.  Climate variability and climate change and their impacts on Kenya’s agricultural sector , 2010 .

[7]  T. McKee,et al.  THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES , 1993 .

[8]  Shahbaz Khan,et al.  Standard precipitation index to track drought and assess impact of rainfall on watertables in irrigation areas , 2008 .

[9]  R. Heim,et al.  Drought indices: a review. , 2000 .

[10]  Roongroj Chokngamwong,et al.  Thailand Daily Rainfall and Comparison with TRMM Products , 2008 .

[11]  Yudong Tian,et al.  A global map of uncertainties in satellite‐based precipitation measurements , 2010 .

[12]  Sergio H. Franchito,et al.  Validation of TRMM precipitation radar monthly rainfall estimates over Brazil , 2009 .

[13]  Chong-Yu Xu,et al.  Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment, Poyang lake basin , 2012 .

[14]  J. Janowiak,et al.  The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .

[15]  A. Huete,et al.  Amazon Forests Green-Up During 2005 Drought , 2007, Science.

[16]  Peiyan Chen,et al.  Verification of Tropical Cyclone–Related Satellite Precipitation Estimates in Mainland China , 2009 .

[17]  Abdou Ali,et al.  Using spaceborne surface soil moisture to constrain satellite precipitation estimates over West Africa , 2008 .

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

[19]  W. Wakabi.  “Worst drought in a decade” leaves Kenya crippled , 2006, The Lancet.

[20]  Youlong Xia,et al.  Drought Indices Based on the Climate Forecast System Reanalysis and Ensemble NLDAS , 2011 .

[21]  K. Mo,et al.  Model-Based Drought Indices over the United States , 2008 .

[22]  L. Ren,et al.  Validation of TRMM Data in the Black Volta Basin of Ghana , 2012 .

[23]  H. Feidas,et al.  Validation of satellite rainfall products over Greece , 2010 .

[24]  Jennifer Nakamura,et al.  Drought in the Southeastern United States: Causes, Variability over the Last Millennium, and the Potential for Future Hydroclimate Change* , 2009 .

[25]  Sharon E. Nicholson,et al.  On the question of the ''recovery'' of the rains in the West African Sahel , 2005 .

[26]  Kenji Matsuura,et al.  Smart Interpolation of Annually Averaged Air Temperature in the United States , 1995 .

[27]  Swadhin K. Behera,et al.  The Indian Ocean dipole - the unsung driver of climatic variability in East Africa , 2007 .

[28]  C. Azorín-Molina,et al.  Performance of Drought Indices for Ecological, Agricultural, and Hydrological Applications , 2012 .

[29]  Abdou Ali,et al.  Pluriannual comparisons of satellite‐based rainfall products over the Sahelian belt for seasonal vegetation modeling , 2011 .

[30]  Walter Collischonn,et al.  Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates , 2008 .

[31]  A. Dai.  Drought under global warming: a review , 2011 .

[32]  Olivier Dupont,et al.  Heat and drought 2003 in Europe: a climate synthesis , 2006 .

[33]  Sergio M. Vicente-Serrano,et al.  Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin , 2005 .

[34]  S. Szalai,et al.  Analysis of drought severity using PDSI and SPI indices , 2001 .

[35]  Y.‐C. Gao,et al.  Evaluation of high-resolution satellite precipitation products using rain gauge observations over the Tibetan Plateau , 2012 .

[36]  D. Wilhite,et al.  Monitoring the 1996 Drought Using the Standardized Precipitation Index , 1999 .

[37]  Yang Hong,et al.  Hydrologic evaluation of Multisatellite Precipitation Analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China , 2010 .

[38]  J. Dracup,et al.  On the definition of droughts , 1980 .

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

[40]  Justin T. Maxwell,et al.  United States Drought of 2007: Historical Perspectives , 2009 .

[41]  C. Ropelewski,et al.  Validation of satellite rainfall products over East Africa's complex topography , 2007 .

[42]  Nicolas Barbier,et al.  Remote sensing detection of droughts in Amazonian forest canopies. , 2010, The New phytologist.

[43]  Eric F. Wood,et al.  Assessing the skill of satellite‐based precipitation estimates in hydrologic applications , 2010 .

[44]  J. Huho,et al.  Understanding Extreme Climatic Events for Economic Development in Kenya , 2014 .

[45]  David B. Wolff,et al.  Evaluation of TRMM Rain Estimates Using Ground Measurements over Central Florida , 2012 .

[46]  R. Roca,et al.  Comparing Satellite and Surface Rainfall Products over West Africa at Meteorologically Relevant Scales during the AMMA Campaign Using Error Estimates , 2010 .

[47]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[48]  Xiaoling Chen,et al.  Satellites Capture the Drought Severity Around China's Largest Freshwater Lake , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[49]  Ajit Subramaniam,et al.  Causes and impacts of the 2005 Amazon drought , 2008 .

[50]  Tao Zhang,et al.  On the Increased Frequency of Mediterranean Drought , 2012 .

[51]  A. Sahoo,et al.  Multisource estimation of long-term terrestrial water budget for major global river basins , 2012 .

[52]  B. Lamptey,et al.  Comparison of Gridded Multisatellite Rainfall Estimates with Gridded Gauge Rainfall over West Africa , 2008 .

[53]  John Manuel,et al.  Drought in the Southeast: Lessons for Water Management , 2008, Environmental health perspectives.

[54]  C. Makropoulos,et al.  Validation of satellite rainfall products for operational flood forecasting: the case of the Evros catchment , 2011 .

[55]  Hongwei Zeng,et al.  The evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) in drought monitoring in the Lancang River Basin , 2012, Journal of Geographical Sciences.

[56]  E. Wood,et al.  Seasonal hydrologic predictions of low‐flow conditions over eastern USA during the 2007 drought , 2008 .

[57]  O. Phillips,et al.  The 2010 Amazon Drought , 2011, Science.

[58]  Christian D. Kummerow,et al.  An Examination of Version-5 Rainfall Estimates from the TRMM Microwave Imager, Precipitation Radar, and Rain Gauges on Global, Regional, and Storm Scales , 2004 .

[59]  Sharon E. Nicholson,et al.  Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part II: Validation of TRMM Rainfall Products , 2003 .

[60]  S. Nair,et al.  Evaluation of Multi-Satellite TRMM Derived Rainfall Estimates over a Western State of India , 2009 .

[61]  Benjamin F. Zaitchik,et al.  Europe's 2003 heat wave: a satellite view of impacts and land–atmosphere feedbacks , 2006 .

[62]  W. Alley.  The Palmer Drought Severity Index: Limitations and Assumptions , 1984 .

[63]  Lifeng Luo,et al.  Monitoring and predicting the 2007 U.S. drought , 2007 .

[64]  N. Guttman.  COMPARING THE PALMER DROUGHT INDEX AND THE STANDARDIZED PRECIPITATION INDEX 1 , 1998 .

[65]  Jürgen Vogt,et al.  TOWARD GLOBAL DROUGHT EARLY WARNING CAPABILITY Expanding International Cooperation for the Development of a Framework for Monitoring and Forecasting , 2013 .