Paper Info
Title
A Statistical Retrieval of Cloud Parameters for the Millimeter Wave Ice Cloud Imager on Board MetOp-SG.
Abstract
The meteorological observations from satellites in the microwave domain are currently limited to below 190 GHz. The next generation of European Organization for the Exploitation of Meteorological Satellites Polar System-Second Generation will carry an instrument, the ice cloud imager (ICI), with frequencies up to 664 GHz, to improve the characterization of the cloud frozen phase. In this paper, a statistical retrieval of cloud parameters for ICI is developed, trained on a synthetic database derived from the coupling of a mesoscale cloud model and radiative transfer calculations. The hydrometeor profiles simulated with the weather research and forecasting model (WRF) for 12 diverse European mid-latitude situations are used to simulate the brightness temperatures with the atmospheric radiative transfer simulator (ARTS) to prepare the retrieval database. The WRF+ARTS simulations have been compared with the special sensor microwave imager/sounder observations up to 190 GHz: this successful evaluation gives us confidence in the simulations at the ICI channels from 183 to 664 GHz. Statistical analyses have been performed on this simulated retrieval database, showing that it is not only physically realistic but also statistically satisfactory for retrieval purposes. A first neural network (NN) classifier is used to detect the cloud presence. A second NN is developed to retrieve the liquid and ice-integrated cloud quantities over sea and land separately. The detection and retrieval of the hydrometeor quantities (i.e., ice, snow, graupel, rain, and liquid cloud) are performed with ICI-only, and with ICI combined with observations from the microwave imager (MWI, also on board MetOp-SG). The ICI channels have been optimized for the detection and quantification of the cloud frozen phase. Adding the MWI channels improves the performances of the vertically integrated content mostly for the cloud liquid phase. The relative error for the retrieved integrated frozen water content (FWP, i.e., ice+snow+graupel) is below similar to 40% for 0.1 kg/m(2) < FWP < 0.5 kg/m(2) and below similar to 20% for FWP > 0.5 kg/m(2).
Year
DOI
Venue
2017
10.1109/ACCESS.2016.2625742
IEEE ACCESS
Keywords
Field
DocType
Ice cloud imager,ice water path retrieval,radiative transfer simulation
Graupel,Computer science,Ice cloud,Remote sensing,Weather Research and Forecasting Model,Atmospheric model,Microwave imaging,Special sensor microwave/imager,Radiative transfer,Snow,Distributed computing
Journal
Volume
ISSN
Citations 
5
2169-3536
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Die Wang100.34
Catherine Prigent211319.31
Filipe Aires3286.18
Carlos Jimenez4182.59