Uncertainties in TRMM‐Era multisatellite‐based tropical rainfall estimates over the Maritime Continent

This study investigates the regional and seasonal rainfall rate retrieval uncertainties within nine state‐of‐the‐art satellite‐based rainfall products over the Maritime Continent (MC) region. The results show consistently larger differences in mean daily rainfall among products over land, especially over mountains and along coasts, compared to over ocean, by about 20% for low to medium rain rates and 5% for heavy rain rates. However, rainfall differences among the products do not exhibit any seasonal dependency over both surface types (land and ocean) of the MC region. The differences between products largely depends on the rain rate itself, with a factor 2 difference for light rain and 30% for intermediate and high rain rates over ocean. The rain‐rate products dominated by microwave measurements showed less spread among themselves over ocean compared to the products dominated by infrared measurements. Conversely, over land, the rain gauge‐adjusted post–real‐time products dominated by microwave measurements produced the largest spreads, due to the usage of different gauge analyses for the bias corrections. Intercomparisons of rainfall characteristics of these products revealed large discrepancies in detecting the frequency and intensity of rainfall. These satellite products are finally evaluated at subdaily, daily, monthly, intraseasonal, and seasonal temporal scales against high‐quality gridded rainfall observations in the Sarawak (Malaysia) region for the 4 year period 2000–2003. No single satellite‐based rainfall product clearly outperforms the other products at all temporal scales. General guidelines are provided for selecting a product that could be best suited for a particular application and/or temporal resolution.

[1]  Joseph L. Awange,et al.  An evaluation of high‐resolution gridded precipitation products over Bhutan (1998–2012) , 2016 .

[2]  J. Michaelsen,et al.  The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes , 2015, Scientific Data.

[3]  W. Grabowski,et al.  The diurnal cycle of rainfall over New Guinea in convection-permitting WRF simulations , 2015 .

[4]  Xinhua Zhang,et al.  Inter-Comparison of High-Resolution Satellite Precipitation Products over Central Asia , 2015, Remote. Sens..

[5]  Y. Hong,et al.  Global View Of Real-Time Trmm Multisatellite Precipitation Analysis: Implications For Its Successor Global Precipitation Measurement Mission , 2015 .

[6]  Sapna Rana,et al.  Precipitation Seasonality over the Indian Subcontinent: An Evaluation of Gauge, Reanalyses, and Satellite Retrievals , 2015 .

[7]  S. Sorooshian,et al.  PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies , 2015 .

[8]  Hendrik Boogaard,et al.  Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique , 2015, Remote. Sens..

[9]  E. N. Rajagopal,et al.  Comparison of TMPA-3B42 Versions 6 and 7 Precipitation Products with Gauge-Based Data over India for the Southwest Monsoon Period , 2015 .

[10]  Arthur P. Cracknell,et al.  Evaluation of Six High-Resolution Satellite and Ground-Based Precipitation Products over Malaysia , 2015, Remote. Sens..

[11]  C. Jakob,et al.  Global Detection and Analysis of Coastline-Associated Rainfall Using an Objective Pattern Recognition Technique , 2015, 1501.06265.

[12]  A. Protat,et al.  Optimizing the Probability of Flying in High Ice Water Content Conditions in the Tropics Using a Regional-Scale Climatology of Convective Cell Properties , 2014 .

[13]  L. Rikus,et al.  Evaluation of hydrometeor frequency of occurrence in a limited‐area numerical weather prediction system using near real‐time CloudSat–CALIPSO observations , 2014 .

[14]  Christian Onof,et al.  A Comparative Performance Analysis of TRMM 3B42 (TMPA) Versions 6 and 7 for Hydrological Applications over Andean–Amazon River Basins , 2014 .

[15]  Yi-Bo Luo,et al.  Evaluating the performance of remote sensing precipitation products CMORPH, PERSIANN, and TMPA, in the arid region of northwest China , 2014, Theoretical and Applied Climatology.

[16]  Misako Kachi,et al.  Gauge adjusted global satellite mapping of precipitation (GSMaP_Gauge) , 2013, 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS).

[17]  Chidong Zhang Madden–Julian Oscillation: Bridging Weather and Climate , 2013 .

[18]  The effect of the Madden‐Julian Oscillation on station rainfall and river level in the Fly River system, Papua New Guinea , 2013 .

[19]  Y. Hong,et al.  Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the Yangtze River , 2013 .

[20]  Modulation of the Diurnal Cycle of Rainfall Associated with the MJO Observed by a Dense Hourly Rain Gauge Network at Sarawak, Borneo , 2013 .

[21]  Emad Habib,et al.  Inter-comparison of satellite rainfall products for representing rainfall diurnal cycle over the Nile basin , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[22]  F. Joseph Turk,et al.  An assessment of satellite-based high resolution precipitation datasets for atmospheric composition studies in the maritime continent☆ , 2013 .

[23]  K. Walsh,et al.  Influence of ENSO on the Diurnal Cycle of Rainfall over the Maritime Continent and Australia , 2013 .

[24]  Emad Habib,et al.  Climatology-Focused Evaluation of CMORPH and TMPA Satellite Rainfall Products over the Nile Basin , 2012 .

[25]  A. Kitoh,et al.  APHRODITE: Constructing a Long-Term Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges , 2012 .

[26]  Emmanouil N. Anagnostou,et al.  Evaluation of Global Satellite Rainfall Products over Continental Europe , 2012 .

[27]  P. Xie,et al.  Kalman Filter–Based CMORPH , 2011 .

[28]  Pingping Xie,et al.  A conceptual model for constructing high‐resolution gauge‐satellite merged precipitation analyses , 2011 .

[29]  T. Koh,et al.  Principal Component Analysis of Observed and Modeled Diurnal Rainfall in the Maritime Continent , 2011 .

[30]  Aljosja Hooijer,et al.  Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia , 2011 .

[31]  Barnaby S. Love,et al.  The diurnal cycle of precipitation over the Maritime Continent in a high‐resolution atmospheric model , 2011 .

[32]  S. Uhlenbrook,et al.  Development of a gridded daily hydrometeorological data set for Peninsular Malaysia , 2011 .

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

[34]  K. Walsh,et al.  Scale Interaction of the Diurnal Cycle of Rainfall over the Maritime Continent and Australia: Influence of the MJO , 2011 .

[35]  D. S. Wilks,et al.  Chapter 8 - Forecast Verification , 2011 .

[36]  A. Bodas‐Salcedo,et al.  Dreary state of precipitation in global models , 2010 .

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

[38]  Pietro Ceccato,et al.  Validation and Intercomparison of Satellite Rainfall Estimates over Colombia , 2010 .

[39]  G. Huffman,et al.  The TRMM Multi-Satellite Precipitation Analysis (TMPA) , 2010 .

[40]  Hiroaki Miura,et al.  Diurnal Cycle of Precipitation in the Tropics Simulated in a Global Cloud-Resolving Model , 2009 .

[41]  Robin J. Hogan,et al.  Verification of cloud‐fraction forecasts , 2009 .

[42]  Z. Kawasaki,et al.  A Kalman Filter Approach to the Global Satellite Mapping of Precipitation (GSMaP) from Combined Passive Microwave and Infrared Radiometric Data , 2009 .

[43]  Robert F. Adler,et al.  A Ten-Year Tropical Rainfall Climatology Based on a Composite of TRMM Products , 2009 .

[44]  Misako Kachi,et al.  Verification of High-Resolution Satellite-Based Rainfall Estimates around Japan Using a Gauge-Calibrated Ground-Radar Dataset , 2009 .

[45]  F. Joseph Turk,et al.  Evaluating High-Resolution Precipitation Products , 2008 .

[46]  V. Kousky,et al.  Assessing objective techniques for gauge‐based analyses of global daily precipitation , 2008 .

[47]  S. Cocke,et al.  Diurnal cycle of precipitation in a climate model , 2007 .

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

[49]  W. Briggs Statistical Methods in the Atmospheric Sciences , 2007 .

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

[51]  J. Janowiak,et al.  COMPARISON OF NEAR-REAL-TIME PRECIPITATION ESTIMATES FROM SATELLITE OBSERVATIONS AND NUMERICAL MODELS , 2007 .

[52]  A. Dai,et al.  Summer Precipitation Frequency, Intensity, and Diurnal Cycle over China: A Comparison of Satellite Data with Rain Gauge Observations , 2007 .

[53]  T. Yasunari,et al.  Time-space characteristics of diurnal rainfall over borneo and surrounding oceans as observed by TRMM-PR , 2006 .

[54]  M. Wheeler,et al.  An All-Season Real-Time Multivariate MJO Index: Development of an Index for Monitoring and Prediction , 2004 .

[55]  J. Janowiak,et al.  CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution , 2004 .

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

[57]  Hiroyuki Hashiguchi,et al.  Diurnal Land-Sea Rainfall Peak Migration over Sumatera Island, Indonesian Maritime Continent, Observed by TRMM Satellite and Intensive Rawinsonde Soundings , 2003 .

[58]  R. Neale,et al.  The Maritime Continent and Its Role in the Global Climate: A GCM Study , 2003 .

[59]  K. Taylor Summarizing multiple aspects of model performance in a single diagram , 2001 .

[60]  J. Slingo,et al.  The Diurnal Cycle in the Tropics , 2001 .

[61]  J. Janowiak,et al.  A Real–Time Global Half–Hourly Pixel–Resolution Infrared Dataset and Its Applications , 2001 .

[62]  J. Susskind,et al.  Global Precipitation at One-Degree Daily Resolution from Multisatellite Observations , 2001 .

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

[64]  P. Xie,et al.  Global Precipitation: A 17-Year Monthly Analysis Based on Gauge Observations, Satellite Estimates, and Numerical Model Outputs , 1997 .

[65]  S. Sorooshian,et al.  Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks , 1997 .

[66]  B. N. Meisner,et al.  The Relationship between Large-Scale Convective Rainfall and Cold Cloud over the Western Hemisphere during 1982-84 , 1987 .

[67]  C. S. Ramage ROLE OF A TROPICAL "MARITIME CONTINENT" IN THE ATMOSPHERIC CIRCULATION , 1968 .