Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation

被引:438
作者
Benedetti, A. [1 ]
Morcrette, J. -J. [1 ]
Boucher, O. [2 ]
Dethof, A. [1 ]
Engelen, R. J. [1 ]
Fisher, M. [1 ]
Flentje, H. [3 ]
Huneeus, N. [4 ]
Jones, L. [1 ]
Kaiser, J. W. [1 ]
Kinne, S. [5 ]
Mangold, A. [6 ]
Razinger, M. [1 ]
Simmons, A. J. [1 ]
Suttie, M. [1 ]
机构
[1] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
[2] Hadley Ctr, Met Off, Exeter EX1 3PB, Devon, England
[3] Meteorol Observ Hohenpeissenberg, D-82383 Hohenpeissenberg, Germany
[4] Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France
[5] Max Planck Inst Meteorol, D-20146 Hamburg, Germany
[6] Royal Meteorol Inst Belgium, Observat Dept, B-1180 Uccle, Belgium
关键词
SCHEME;
D O I
10.1029/2008JD011115
中图分类号
P4 [大气科学(气象学)];
学科分类号
070601 [气象学];
摘要
This study presents the new aerosol assimilation system, developed at the European Centre for Medium-Range Weather Forecasts, for the Global and regional Earth-system Monitoring using Satellite and in-situ data (GEMS) project. The aerosol modeling and analysis system is fully integrated in the operational four-dimensional assimilation apparatus. Its purpose is to produce aerosol forecasts and reanalyses of aerosol fields using optical depth data from satellite sensors. This paper is the second of a series which describes the GEMS aerosol effort. It focuses on the theoretical architecture and practical implementation of the aerosol assimilation system. It also provides a discussion of the background errors and observations errors for the aerosol fields, and presents a subset of results from the 2-year reanalysis which has been run for 2003 and 2004 using data from the Moderate Resolution Imaging Spectroradiometer on the Aqua and Terra satellites. Independent data sets are used to show that despite some compromises that have been made for feasibility reasons in regards to the choice of control variable and error characteristics, the analysis is very skillful in drawing to the observations and in improving the forecasts of aerosol optical depth.
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页数:18
相关论文
共 38 条
[1]
Updated estimate of aerosol direct radiative forcing from satellite observations and comparison against the Hadley Centre climate model [J].
Bellouin, Nicolas ;
Jones, Andy ;
Haywood, Jim ;
Christopher, Sundar A. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2008, 113 (D10)
[2]
BENEDETTI A, 2008, 571 EUR CTR MED RANG
[3]
Assimilation of MODIS cloud optical depths in the ECMWF model [J].
Benedetti, Angela ;
Janiskova, Marta .
MONTHLY WEATHER REVIEW, 2008, 136 (05) :1727-1746
[4]
Background error statistics for aerosols [J].
Benedetti, Angela ;
Fisher, Michael .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2007, 133 (623) :391-405
[5]
BOUCHER O, 2002, 23 PS LAPL
[6]
Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX [J].
Collins, WD ;
Rasch, PJ ;
Eaton, BE ;
Khattatov, BV ;
Lamarque, JF ;
Zender, CS .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D7) :7313-7336
[7]
COURTIER P, 1994, Q J ROY METEOR SOC, V120, P1367, DOI 10.1256/smsqj.51911
[8]
Bias and data assimilation [J].
Dee, D. P. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2005, 131 (613) :3323-3343
[9]
The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces [J].
Diner, DJ ;
Braswell, BH ;
Davies, R ;
Gobron, N ;
Hu, JN ;
Jin, YF ;
Kahn, RA ;
Knyazikhin, Y ;
Loeb, N ;
Muller, JP ;
Nolin, AW ;
Pinty, B ;
Schaaf, CB ;
Seiz, G ;
Stroeve, J .
REMOTE SENSING OF ENVIRONMENT, 2005, 97 (04) :495-518
[10]
Multi-angle Imaging SpectroRadiometer (MISR) - Instrument description and experiment overview [J].
Diner, DJ ;
Beckert, JC ;
Reilly, TH ;
Bruegge, CJ ;
Conel, JE ;
Kahn, RA ;
Martonchik, JV ;
Ackerman, TP ;
Davies, R ;
Gerstl, SAW ;
Gordon, HR ;
Muller, JP ;
Myneni, RB ;
Sellers, PJ ;
Pinty, B ;
Verstraete, MM .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (04) :1072-1087