The CAMS reanalysis of atmospheric composition

被引:684
作者
Inness, Antje [1 ]
Ades, Melanie [1 ]
Agusti-Panareda, Anna [1 ]
Barre, Jerome [1 ]
Benedictow, Anna [2 ]
Blechschmidt, Anne-Marlene [3 ]
Dominguez, Juan Jose [1 ]
Engelen, Richard [1 ]
Eskes, Henk [4 ]
Flemming, Johannes [1 ]
Huijnen, Vincent [4 ]
Jones, Luke [1 ]
Kipling, Zak [1 ]
Massart, Sebastien [1 ]
Parrington, Mark [1 ]
Pench, Vincent-Henri [1 ]
Razinger, Miha [1 ]
Remy, Samuel [5 ]
Schulz, Michael [2 ]
Suttie, Martin [1 ]
机构
[1] ECMWF, Shinfield Pk, Reading RG2 9AX, Berks, England
[2] Norwegian Meteorol Inst, Postboks 43 Blindern, N-0313 Oslo, Norway
[3] Univ Bremen, Inst Environm Phys, Bremen, Germany
[4] Royal Netherlands Meteorol Inst, De Bilt, Netherlands
[5] UPMC, IPSL, CNRS, Paris, France
基金
欧盟地平线“2020”;
关键词
NO2 COLUMN RETRIEVAL; CARBON-MONOXIDE; TROPOSPHERIC NO2; TOTAL OZONE; INTERIM REANALYSIS; FORECASTING SYSTEM; DATA ASSIMILATION; NITROGEN-DIOXIDE; AEROSOL PRODUCTS; MEGAN MODEL;
D O I
10.5194/acp-19-3515-2019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Copernicus Atmosphere Monitoring Service (CAMS) reanalysis is the latest global reanalysis dataset of atmospheric composition produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), consisting of three-dimensional time-consistent atmospheric composition fields, including aerosols and chemical species. The dataset currently covers the period 2003-2016 and will be extended in the future by adding 1 year each year. A reanalysis for greenhouse gases is being produced separately. The CAMS reanalysis builds on the experience gained during the production of the earlier Monitoring Atmospheric Composition and Climate (MACC) reanalysis and CAMS interim reanalysis. Satellite retrievals of total column CO; tropospheric column NO2; aerosol optical depth (AOD); and total column, partial column and profile ozone retrievals were assimilated for the CAMS reanalysis with ECMWF's Integrated Forecasting System. The new reanalysis has an increased horizontal resolution of about 80 km and provides more chemical species at a better temporal resolution (3-hourly analysis fields, 3-hourly forecast fields and hourly surface forecast fields) than the previously produced CAMS interim reanalysis. The CAMS reanalysis has smaller biases compared with most of the independent ozone, carbon monoxide, nitrogen dioxide and aerosol optical depth observations used for validation in this paper than the previous two reanalyses and is much improved and more consistent in time, especially compared to the MACC reanalysis. The CAMS reanalysis is a dataset that can be used to compute climatologies, study trends, evaluate models, benchmark other reanalyses or serve as boundary conditions for regional models for past periods.
引用
收藏
页码:3515 / 3556
页数:42
相关论文
共 104 条
  • [1] Forecasting global atmospheric CO2
    Agusti-Panareda, A.
    Massart, S.
    Chevallier, F.
    Boussetta, S.
    Balsamo, G.
    Beljaars, A.
    Ciais, P.
    Deutscher, N. M.
    Engelen, R.
    Jones, L.
    Kivi, R.
    Paris, J. -D.
    Peuch, V. -H.
    Sherlock, V.
    Vermeulen, A. T.
    Wennberg, P. O.
    Wunch, D.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (21) : 11959 - 11983
  • [2] Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM-CAM-chem and DART
    Barre, Jerome
    Gaubert, Benjamin
    Arellano, Avelino F. J.
    Worden, Helen M.
    Edwards, David P.
    Deeter, Merritt N.
    Anderson, Jeffrey L.
    Raeder, Kevin
    Collins, Nancy
    Tilmes, Simone
    Francis, Gene
    Clerbaux, Cathy
    Emmons, Louisa K.
    Pfister, Gabriele G.
    Coheur, Pierre-Francois
    Hurtmans, Daniel
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2015, 120 (19) : 10501 - 10529
  • [3] Basher R. E., 1982, 13 WORLD MET ORG GLO
  • [4] Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation
    Benedetti, A.
    Morcrette, J. -J.
    Boucher, O.
    Dethof, A.
    Engelen, R. J.
    Fisher, M.
    Flentje, H.
    Huneeus, N.
    Jones, L.
    Kaiser, J. W.
    Kinne, S.
    Mangold, A.
    Razinger, M.
    Simmons, A. J.
    Suttie, M.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114
  • [5] Background error statistics for aerosols
    Benedetti, Angela
    Fisher, Michael
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2007, 133 (623) : 391 - 405
  • [6] Algorithm for the estimation of vertical ozone profiles from the backscattered ultraviolet technique
    Bhartia, PK
    McPeters, RD
    Mateer, CL
    Flynn, LE
    Wellemeyer, C
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1996, 101 (D13) : 18793 - 18806
  • [7] Blumenstock T., 2017, TCCON DATA IZANA ES, DOI 10.14291/TCCON.GGG2014.IZANA01.R1
  • [8] Near-real time retrieval of tropospheric NO2 from OMI
    Boersma, K. F.
    Eskes, H. J.
    Veefkind, J. P.
    Brinksma, E. J.
    Van der A, R. J.
    Sneep, M.
    van den Oord, G. H. J.
    Levelt, P. F.
    Stammes, P.
    Gleason, J. F.
    Bucsela, E. J.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2007, 7 (08) : 2103 - 2118
  • [9] An improved tropospheric NO2 column retrieval algorithm for the Ozone Monitoring Instrument
    Boersma, K. F.
    Eskes, H. J.
    Dirksen, R. J.
    van der A, R. J.
    Veefkind, J. P.
    Stammes, P.
    Huijnen, V.
    Kleipool, Q. L.
    Sneep, M.
    Claas, J.
    Leitao, J.
    Richter, A.
    Zhou, Y.
    Brunner, D.
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2011, 4 (09) : 1905 - 1928
  • [10] Error analysis for tropospheric NO2 retrieval from space -: art. no. D04311
    Boersma, KF
    Eskes, HJ
    Brinksma, EJ
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2004, 109 (D4)