Evaluation of the Global Precipitation Measurement (GPM) Satellite Rainfall Products over the Lower Colorado River Basin, Texas

[1]  Yudong Tian,et al.  Validation of precipitation retrievals over land from satellite‐based passive microwave sensors , 2014 .

[2]  H. Xie,et al.  Validation of the NEXRAD DSP Product with a Dense Rain Gauge Network , 2013 .

[3]  Quanxi Shao,et al.  An improved statistical approach to merge satellite rainfall estimates and raingauge data. , 2010 .

[4]  W. Schmid,et al.  Verifying warnings for point precipitation , 2005 .

[5]  Emad Habib,et al.  Validation of NEXRAD multisensor precipitation estimates using an experimental dense rain gauge network in south Louisiana. , 2009 .

[6]  Vidhi Bharti,et al.  Evaluation of error in TRMM 3B42V7 precipitation estimates over the Himalayan region , 2015 .

[7]  Chris Kidd,et al.  Global Precipitation Measurement , 2008 .

[8]  Cédric H. David,et al.  Continental‐Scale River Flow Modeling of the Mississippi River Basin Using High‐Resolution NHDPlus Dataset , 2017 .

[9]  Yang Hong,et al.  Uncertainty analysis of bias from satellite rainfall estimates using copula method , 2014 .

[10]  Xi Chen,et al.  First evaluation of the climatological calibration algorithm in the real‐time TMPA precipitation estimates over two basins at high and low latitudes , 2013, Water Resources Research.

[11]  Denis A. Hughes,et al.  Comparison of satellite rainfall data with observations from gauging station networks , 2006 .

[12]  Klaus Wolter,et al.  What History Tells Us about 2015 U.S. Daily Rainfall Extremes , 2016 .

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

[14]  Zhong Liu,et al.  Comparison of Integrated Multisatellite Retrievals for GPM (IMERG) and TRMM Multisatellite Precipitation Analysis (TMPA) Monthly Precipitation Products: Initial Results , 2016 .

[15]  S. Sorooshian,et al.  Evaluation of PERSIANN system satellite-based estimates of tropical rainfall , 2000 .

[16]  Zhiguo Pang,et al.  Modelling Hydrologic Processes in the Mekong River Basin Using a Distributed Model Driven by Satellite Precipitation and Rain Gauge Observations , 2016, PloS one.

[17]  Juliang Jin,et al.  Assessment of the Latest GPM-Era High-Resolution Satellite Precipitation Products by Comparison with Observation Gauge Data over the Chinese Mainland , 2016 .

[18]  Andrea Cavallaro,et al.  Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing , 2015, Remote. Sens..

[19]  Zong‐Liang Yang,et al.  A GIS Framework for Regional Modeling of Riverine Nitrogen Transport: Case Study, San Antonio and Guadalupe Basins , 2016 .

[20]  Miao Yu,et al.  Multimodel ensemble simulations of present and future climates over West Africa: Impacts of vegetation dynamics , 2016 .

[21]  Yang Hong,et al.  Statistical and Hydrological Comparisons between TRMM and GPM Level-3 Products over a Midlatitude Basin: Is Day-1 IMERG a Good Successor for TMPA 3B42V7? , 2016 .

[22]  Y. Hong,et al.  Evaluating the Performance of Merged Multi-Satellite Precipitation Products Over a Complex Terrain , 2015, Water Resources Management.

[23]  David I. F. Grimes,et al.  Hydrological modelling using ensemble satellite rainfall estimates in a sparsely gauged river basin: The need for whole-ensemble calibration , 2015 .

[24]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .

[25]  Kuolin Hsu,et al.  Hydrologic evaluation of satellite precipitation products over a mid-size basin , 2011 .

[26]  Amir AghaKouchak,et al.  From TRMM to GPM: How well can heavy rainfall be detected from space? , 2016 .

[27]  A. Hou,et al.  The Global Precipitation Measurement Mission , 2014 .

[28]  Dongmei Feng,et al.  Relative Sensitivity of Flood Inundation Extent by Different Physical and Non-physical Models , 2016 .

[29]  Ehsan Sharifi,et al.  Assessment of GPM-IMERG and Other Precipitation Products against Gauge Data under Different Topographic and Climatic Conditions in Iran: Preliminary Results , 2016, Remote. Sens..

[30]  David A. Newell,et al.  The Global Precipitation Measurement (GPM) Microwave Imager (GMI): Instrument Overview and Early On-Orbit Performance , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[31]  Hongjie Xie,et al.  Validating NEXRAD MPE and Stage III precipitation products for uniform rainfall on the Upper Guadalupe River Basin of the Texas Hill Country , 2008 .

[32]  Kuolin Hsu,et al.  Flood Forecasting and Inundation Mapping Using HiResFlood-UCI and Near-Real-Time Satellite Precipitation Data: The 2008 Iowa Flood , 2015 .

[33]  S. Sorooshian,et al.  Evaluation of satellite-retrieved extreme precipitation rates across the central United States , 2011 .

[34]  Performance evaluation of interpolation methods for incorporating rain gauge measurements into NEXRAD precipitation data: a case study in the Upper Guadalupe River Basin , 2011 .

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

[36]  David C. Goodrich,et al.  Spatial interpolation of precipitation in a dense gauge network for monsoon storm events in the southwestern United States , 2008 .

[37]  Byung-Ju Sohn,et al.  Validation of Satellite-Based High-Resolution Rainfall Products over the Korean Peninsula Using Data from a Dense Rain Gauge Network , 2010 .

[38]  Witold F. Krajewski,et al.  A method for filtering out raingauge representativeness errors from the verification distributions of radar and raingauge rainfall , 2004 .