Rainfall-Rate Assignment Using MSG SEVIRI Data—A Promising Approach to Spaceborne Rainfall-Rate Retrieval for Midlatitudes

Abstract The potential of rainfall-rate assignment using Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Instrument (SEVIRI) data is investigated. For this purpose, a new conceptual model for precipitation processes in connection with midlatitude cyclones is developed, based on the assumption that high rainfall rates are linked to a high optical thickness and a large effective particle radius, whereas low rainfall rates are linked to a low optical thickness and a small effective particle radius. Reflection values in the 0.56–0.71-μm (VIS0.6) and 1.5–1.78-μm (NIR1.6) channels, which provide information about the optical thickness and the effective radius, are considered in lieu of the optical and microphysical cloud properties. An analysis of the relationship between VIS0.6 and NIR1.6 reflection and the ground-based rainfall rate revealed a high correlation between the sensor signal and the rainfall rate. Based on these findings, a method for rainfall-rate assignment as a function o...

[1]  Thomas Nauss,et al.  Discriminating raining from non-raining clouds at mid-latitudes using multispectral satellite data , 2006 .

[2]  Chris Kidd,et al.  Satellite rainfall climatology: a review , 2001 .

[3]  Arnout J. Feijt,et al.  Recent improvements to LWP retrievals from AVHRR , 2004 .

[4]  Barbara Früh,et al.  Verification of precipitation from regional climate simulations and remote-sensing observations with respect to ground-based observations in the upper Danube catchment , 2007 .

[5]  T. Nakajima,et al.  Wide-Area Determination of Cloud Microphysical Properties from NOAA AVHRR Measurements for FIRE and ASTEX Regions , 1995 .

[6]  Christian D. Kummerow,et al.  The Remote Sensing of Clouds and Precipitation from Space: A Review , 2007 .

[7]  Toshiyuki Kurino A satellite infrared technique for estimating “deep/shallow” precipitation , 1997 .

[8]  R. Brown,et al.  Delineation of Precipitation Areas Using Meteosat Infrared and Visible Data in the Region of the United Kingdom , 1993 .

[9]  Jörg Bendix,et al.  Discriminating raining from non-raining clouds at mid-latitudes using meteosat second generation daytime data , 2007 .

[10]  Jörg Bendix,et al.  Adjustment of the Convective-Stratiform Technique (CST) to estimate 1991/93 El Nino rainfall distribution in Ecuador and Peru by means of Meteosat-3 IR data , 1997 .

[11]  Roland T. Chin,et al.  Determination of Rainfall Rates from GOES Satellite Images by a Pattern Recognition Technique , 1985 .

[12]  Itamar M. Lensky,et al.  Satellite-Based Insights into Precipitation Formation Processes in Continental and Maritime Convective Clouds at Nighttime , 2003 .

[13]  M. King,et al.  Cloud Retrieval Algorithms for MODIS : Optical Thickness , Effective Particle Radius , and Thermodynamic Phase , 2000 .

[14]  Thomas L. Bell,et al.  Comparing satellite rainfall estimates with rain gauge data: Optimal strategies suggested by a spectral model , 2003 .

[15]  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 .

[16]  K. Okamoto,et al.  Rain profiling algorithm for the TRMM precipitation radar , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[17]  T. Bellerby,et al.  A Feature-Based Approach to Satellite Precipitation Monitoring Using Geostationary IR Imagery , 2004 .

[18]  Robert F. Adler,et al.  An intercomparison of three satellite infrared rainfall techniques over Japan and surrounding waters , 1993 .

[19]  B. Thies,et al.  Delineation of raining from non-raining clouds during night-time using Meteosat-8 data , 2007 .

[20]  R. A. Roebeling,et al.  Validation of Cloud Liquid Water Path Retrievals from SEVIRI Using One Year of CloudNET Observations , 2008 .

[21]  C. Kummerow,et al.  A Combined Multisensor Optimal Estimation Retrieval Algorithm for Oceanic Warm Rain Clouds , 2009 .

[22]  An Integrated Receiving and Processing Unit for MSG, NOAA and Terra/Aqua Data , 2004 .

[23]  M. King,et al.  Determination of the Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part II: Marine Stratocumulus Observations , 1991 .

[24]  G. North,et al.  Error Analysis for Some Ground Validation Designs for Satellite Observations of Precipitation , 1999 .

[25]  M. Cheng,et al.  Delineation of Precipitation Areas by Correlation of Meteosat Visible and Infrared Data with Radar Data , 1995 .

[26]  Song Yang,et al.  A MODIS Dual Spectral Rain Algorithm , 2007 .

[27]  V. Levizzani,et al.  IR‐based satellite and radar rainfall estimates of convective storms over northern Italy , 2000 .

[28]  R. Scofield,et al.  Status and Outlook of Operational Satellite Precipitation Algorithms for Extreme-Precipitation Events , 2003 .

[29]  Eleonora P. Zege,et al.  A semianalytical cloud retrieval algorithm using backscattered radiation in 0.4–2.4 μm spectral region , 2003 .

[30]  Kuo-Nan Liou,et al.  Parameterization of the Radiative Properties of Clouds , 1979 .

[31]  A. Arking,et al.  Retrieval of Cloud Cover Parameters from Multispectral Satellite Images , 1985 .

[32]  Thomas Nauss,et al.  Assignment of rainfall confidence values using multispectral satellite data at mid-latitudes: first results , 2007 .

[33]  Itamar M. Lensky,et al.  Estimation of Precipitation Area and Rain Intensity Based on the Microphysical Properties Retrieved from NOAA AVHRR Data , 1997 .

[34]  Gunter Menz,et al.  Regionalization of precipitation models in EastAfrica using meteosat data , 1997 .

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

[36]  R. Scofield,et al.  The Operational GOES Infrared Rainfall Estimation Technique , 1998 .

[37]  Jacques Testud,et al.  Study and Tests of Improved Rain Estimates from the TRMM Precipitation Radar , 2001 .

[38]  S. Lovejoy,et al.  Combining Satellite and Radar Data for the Short-Range Forecasting of Precipitation , 1980 .

[39]  Jörg Bendix,et al.  Precipitation process and rainfall intensity differentiation using Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager data , 2008 .

[40]  Thomas Nauss,et al.  Satellite‐based retrieval of ice cloud properties using a semianalytical algorithm , 2005 .

[41]  Jörg Bendix,et al.  Precipitation dynamics in Ecuador and northern Peru during the 1991/92 El Nino: A remote sensing perspective , 2000 .

[42]  Shaun Lovejoy,et al.  The delineation of rain areas from visible and IR satellite data for GATE and mid‐latitudes , 1979 .

[43]  Robert F. Adler,et al.  Rain Estimation from Satellites: An Examination of the Griffith-Woodley Technique , 1984 .

[44]  W. Woodley,et al.  Rain Estimation from Geosynchronous Satellite Imagery—Visible and Infrared Studies , 1978 .

[45]  Francesco Meneguzzo,et al.  A Review of Satellite-based Rainfall Estimation , 2002 .

[46]  Robert F. Adler,et al.  Thunderstorm cloud height-rainfall rate relations for use with satellite rainfall estimation techniques , 1984 .

[47]  Itamar M. Lensky,et al.  Satellite-Based Insights into Precipitation Formation Processes in Continental and Maritime Convective Clouds , 1998 .

[48]  Finbarr O'Sullivan,et al.  Rain Estimation from Infrared and Visible GOES Satellite Data , 1990 .

[49]  George A. Isaac,et al.  On a new approach for instantaneous rain area delineation in the midlatitudes using GOES data , 1985 .

[50]  Grant W. Petty,et al.  The status of satellite-based rainfall estimation over land☆ , 1995 .

[51]  Johannes Schmetz,et al.  Precipitation estimations from geostationary orbit and prospects for METEOSAT Second Generation , 2001 .

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

[53]  Teruyuki Nakajima,et al.  A Global Determination of Cloud Microphysics with AVHRR Remote Sensing , 2001 .

[54]  A. A. Tsonis Determining rainfall intensity and type from GOES imagery in the midlatitudes , 1987 .

[55]  A. Lacis,et al.  Near-Global Survey of Effective Droplet Radii in Liquid Water Clouds Using ISCCP Data. , 1994 .

[56]  Fuzhong Weng,et al.  Advanced microwave sounding unit cloud and precipitation algorithms , 2003 .

[57]  E. Barrett,et al.  The use of satellite data in rainfall monitoring , 1981 .

[58]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .

[59]  C. Schär,et al.  A PRECIPITATION CLIMATOLOGY OF THE ALPS FROM HIGH-RESOLUTION RAIN-GAUGE OBSERVATIONS , 1998 .

[60]  A. Kokhanovsky,et al.  Reflection and transmission of solar light by clouds: asymptotic theory , 2006 .

[61]  R. A. Roebeling,et al.  SEVIRI rainfall retrieval and validation using weather radar observations , 2009 .

[62]  Emmanouil N. Anagnostou,et al.  Overview of Overland Satellite Rainfall Estimation for Hydro-Meteorological Applications , 2004 .

[63]  Vincenzo Levizzani,et al.  Satellite rainfall estimates: new perspectives for meteorology and climate from the EURAINSAT project , 2003 .

[64]  G. Roe OROGRAPHIC PRECIPITATION , 2005 .

[65]  Rob Roebeling,et al.  Cloud property retrievals for climate monitoring: Implications of differences between Spinning Enhanced Visible and Infrared Imager (SEVIRI) on METEOSAT‐8 and Advanced Very High Resolution Radiometer (AVHRR) on NOAA‐17 , 2006 .

[66]  Paolo Boi,et al.  Validation of retrieval algorithms for the infrared remote sensing of precipitation with the Sardinian rain gauge network data , 1995 .

[67]  W. Paul Menzel,et al.  The MODIS cloud products: algorithms and examples from Terra , 2003, IEEE Trans. Geosci. Remote. Sens..

[68]  G. North,et al.  Evaluation of some ground truth designs for satellite estimates of rain rate , 2002 .

[69]  P. Bauer,et al.  Algorithms for the retrieval of rainfall from passive microwave measurements , 1994 .

[70]  R. A. Scofield,et al.  The role of orographic and parallax corrections on real time high resolution satellite rainfall rate distribution , 2002 .

[71]  Sharon E. Nicholson,et al.  Analysis of Convective Activity and Its Relationship to the Rainfall over the Rift Valley Lakes of East Africa during 1983–90 Using the Meteosat Infrared Channel , 1998 .

[72]  Dong-Bin Shin,et al.  The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors , 2001 .

[73]  P. Xie,et al.  An Intercomparison of Gauge Observations and Satellite Estimates of Monthly Precipitation , 1995 .

[74]  K. Cheng,et al.  A multi-spectral spatial convolution approach of rainfall forecasting using weather satellite imagery , 2006 .

[75]  Jörg Bendix,et al.  A novel approach to fog/low stratus detection using Meteosat 8 data , 2008 .

[76]  D. Aminou MSG's SEVIRI instrument , 2002 .

[77]  Guido Visconti,et al.  Validation of Improved TAMANN Neural Network for Operational Satellite-Derived Rainfall Estimation in Africa , 2006 .

[78]  W. Paul Menzel,et al.  Cloud Properties inferred from 812-µm Data , 1994 .

[79]  A. Gruber,et al.  Estimating Rainfall in Regions of Active Convection , 1973 .

[80]  Jörg Bendix,et al.  FMet - an integrated framework for Meteosat data processing for operational scientific applications , 2008, Comput. Geosci..

[81]  Donald P. Wylie,et al.  An Application of a Geostationary Satellite Rain Estimation Technique to an Extratropical Area , 1979 .

[82]  Jörg Bendix,et al.  Discriminating raining from non‐raining cloud areas at mid‐latitudes using meteosat second generation SEVIRI night‐time data , 2008 .

[83]  Ec Barrett,et al.  Estimation of daily rainfall over the upper Nile river basin using a continuously calibrated satellite infrared technique , 1999 .

[84]  A. Gruber,et al.  GOES Multispectral Rainfall Algorithm (GMSRA) , 2001 .

[85]  Y. Hong,et al.  Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System , 2004 .

[86]  Itamar M. Lensky,et al.  A Night-Rain Delineation Algorithm for Infrared Satellite Data Based on Microphysical Considerations , 2003 .

[87]  Jose Maliekal,et al.  The Uncertainty of Simple Spatial Averages Using Rain Gauge Networks , 1995 .

[88]  Robert F. Adler,et al.  A Satellite Infrared Technique to Estimate Tropical Convective and Stratiform Rainfall , 1988 .