期刊文献+

欧洲陆面数据同化系统组成,系统设计和原理简介 被引量:7

Review on European Land Data Assimilation System
下载PDF
导出
摘要 随着技术的进步,地球系统科学的发展,地——气系统的复杂性的进一步研究,对地表物理场精度的需求越来越高。而观测和模拟作为获得地表数据的两种基本手段,由于其各自的局限性,其精度已经不能满足进一步研究的需求,在这样的背景下,陆面数据同化系统逐步发展起来。本文主要介绍了世界主要的陆面数据同化系统之一——欧洲陆面数据同化系统。此系统采用的强迫数据是根据欧洲的实际情况由欧洲中心自行生产的一套数据,同时在欧洲不同的机构它们采用了不同的陆面过程作为欧洲陆面数据同化系统的核心,它们还将卡尔曼滤波和变分方法结合生产了一套独特的同化方法。并对此系统进行了验证和实例应用。 Because of the development of technology and the earth system science, and the more researches on the complexity of the land--atmosphere system, we need more precision land surface fields. As the two basic measurements, observation and simulation can not meet the requirement of the research any more because of the disadvantage of them. So the land data assimi- lation system is developed to solve the problem. This paper introduces one of the most important land data assimilation systems -- European Land Data Assimilation System (ELDAS) o The forcing data of the ELDAS is produced by ECMWF according to the situation of the Europe. And different Land Surface Models are used in different agencies of Europe. At the same time, they integrate Kalmen filter and variation assimilation into a unique system design. And this paper also introduces the validation and the case study of the ELDSA in details.
出处 《遥感信息》 CSCD 2007年第4期93-97,共5页 Remote Sensing Information
关键词 陆面数据同化系统 陆面过程 KALMAN滤波 变分方法 land data assimilation system land surface model kalman filter variational assimilation
  • 相关文献

参考文献16

  • 1Michelson D.B.,T.Andersson,J.Koistinen,C.G.Collier,J.Riedl,J.Szturc,U.Gjertsen,A.Nielsen and S.Overgaard,BALTEX Radar Data Centre Products and their methodologies.[R].SMHI Reports Meteorology and Climatology 90,Swedish Meteorological and Hydrological Intitute,2000.76.
  • 2Randeu,W.L.,K.F.K"oc and T.Leitner.Realisation of the Central European Weather Radar Network (CERAD)[R].Final Report.Scientific Report,Institute of Communications and Wave Propagation,Technical University Graz,Austria.1996.
  • 3Rubel,F.,K.Brugger,P.Skomorowski and M.Kottek:Daily and 3-hourly quantitive precipitation estimates for ELDAS[R].In Proc.:ECMWF/ELDAS Workshop on Land Surface Assimilation,Reading,November 2004.
  • 4Rubel,F..A new European precipitation dataset for NWP model verification and data assimilation studies.In:Cote,J.(Ed.) Research Activities in Atmospheric and Oceanic Modelling[R].2004 WMO/TD No.1220,Report No.34,Section 2,11-12.
  • 5Rubel,F.,and M.Hantel.BALTEX 1/6-degree daily precipitation climatology 1996-1998[J].Meteorol.Atmos.Phys.,2001(77):155-166.
  • 6Rubel,F.,and M.Hantel.Correction of daily rain gauge measurements in the Baltic Sea drainage basin[J].Nordic Hydrology,1999 (30):191-208.
  • 7Dirk Meetschen,Bart J.J.M.van den Hurk,Felix Ament,and Matthias Drusch.Optimized surface radiation fields derived from Meteosat Imagery and a regional atomspheric model[J].J Hydrometeorology,2004(5):1091-1101.
  • 8Bart van den Hurk,Dirk Meetschen.and Han.The ELDAS radiation and heating rates products using EMTEOSAT data 2004[Z].
  • 9Masson,V..A global database of land surface parameters at 1-km resolution in meteorological and climate models[J].Accepted to Journal of Climate,2003(16):1261-1281
  • 10Loveland,T.R.,B.C.Reed,J.F.Brown,D.O.Ohlen,Z.Zhu,L.Yang,and J.W.Merchant.Development of a global land cover characteristics database and IGBP DISCover from 1km AVHRR data[J].International Journal of Remote Sensing,2000,21 (6 & 7):1303-1330.

二级参考文献34

  • 1Entekhabi D, Galantowicz J F, Njoku E G. Solving the inverse problem for soil moisture and temperature profiles by sequential assimilation of multifrequeney remotely sensed observations [J].IEEE Transactions on Geoseience and Remote Sensing, 1994, 32,(2):
  • 2Galantowiez J F, Entekhabi D, Njoku E G. Test of sequential data assimilation for retrieving profile soil moisture and temperature from observed L-band radiobrightness [J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(4):1860~1870
  • 3Pathmathevan M, Koike T, Li X. A new satellite-based data assimilation algorithm to determine spatial and temporal variations of soil moisture and temperature profiles [J]. Journal of the Meteorological Society of Japan,2003, 81 (5): 1 111~1 135
  • 4Sellers P J, Randall D A, Collatz G J, Berry J A, Field C B,Dazlich D A, Zhang C, Collelo G D, Bounoua L. A revised land surface parameterization (SiB2) for atmospheric GCMs, PartⅠ: model formulation[J]. Journal of Climate, 1996, 9:676~705
  • 5Wilson M F, Henderson-Sellers A, Dickinson R E, Kennedy P J. Sensitivity of the biosphere-atmosphere transfer scheme(BATS) to the inclusion of variable soil characteristics[J]. J. Clim.Appl. Meteor., 1987, 26:341~362
  • 6Dai Y, Zeng X, Dickinson RE, Baker I, Bonan GB, Bosilovich MG, Denning AS, Dirmeyer PA, Houser PR, Niu G, Oleson KW,Schlosser CA, Yang Z-L. The Common Land Model [J]. Bulletin of the American Meteorological Society, 84:1 013~1 023
  • 7Houser P R, Shuttleworth W J, Famiglietti J S, Gupta H V, Syed K H, Goodrich D C. Integration of soil moisture remote sensing and hydrologic modeling using data assimilation [J]. Water Resources Research, 1998,34(12): 3 405~3 420
  • 8Walker J P, Willgoose G R, Kalma J D. One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: a comparison of retrieval algorithm [J]. Advances in Water Resources, 2001, 24:631~650
  • 9Sellers P J, Los S O, Tucker C J, Justice C O, Dazlich D A,Collatz G J, Randall D A. A revised land surface parameterization (SiB2) for atmospheric GCMs, Part Ⅱ: The generation of global fields of terrestrial biophysical parameters from satellite data[J]
  • 10Daley R. Atmospheric Data Analysis [M].New York: Cambridge University Press, 1991

共引文献38

同被引文献187

引证文献7

二级引证文献69

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部