Snow cover sensitivity to horizontal resolution, parameterizations, and atmospheric forcing in a land surface model

被引:41
|
作者
Dutra, Emanuel [1 ,2 ,6 ]
Kotlarski, Sven [2 ]
Viterbo, Pedro [1 ,5 ]
Balsamo, Gianpaolo [6 ]
Miranda, Pedro M. A. [1 ]
Schaer, Christoph [2 ]
Bissolli, Peter [4 ]
Jonas, Tobias [3 ]
机构
[1] Univ Lisbon, Ctr Geofis, Inst Dom Luiz, P-1749077 Lisbon, Portugal
[2] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, CH-8092 Zurich, Switzerland
[3] WSL Inst Snow & Avalanche Res SLF, CH-7260 Davos, Switzerland
[4] Deutsch Wetterdienst, D-63004 Offenbach, Germany
[5] Inst Meteorol, Lisbon, Portugal
[6] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
关键词
INTERACTIVE MULTISENSOR SNOW; IN-SITU; PART I; CLIMATE; MODIS; IMPACT; ALBEDO; SCHEME; PRECIPITATION; SIMULATIONS;
D O I
10.1029/2011JD016061
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper assesses the impacts of horizontal resolution, snow physics, and atmospheric forcing in snow cover simulations by the European Centre for Medium-Range Weather Forecasts (ECWMF) land surface model Hydrology Tiled ECMWF Scheme for Surface Exchanges (HTESSEL). Off-line simulations are carried out forced by the ECMWF deterministic short-term weather forecasts (WFC) with a resolution of 25 km from March 2006 to June 2010. The horizontal-resolution impact on snow cover is addressed by performing simulations at 25, 80, and 200 km forced by WFC. The impact of atmospheric forcing on snow cover is assessed by forcing the model additionally with the ECMWF Era-Interim (ERAI) reanalysis, at 80 km resolution. Snow physics effects are analyzed by performing an extra simulation forced by WFC using a different snow scheme. The simulations are validated against four independent observational data sets: (1) snow water equivalent (SWE) over Switzerland; (2) snow cover duration in Europe (SNOWCLIM); (3) interactive multisensor snow and ice-mapping system (IMS) snow cover; and (4) Moderate Resolution Imaging Spectroradiometer (MODIS) surface albedo. ERAI forced simulations show a systematic underestimation of SWE and snow cover fraction, which is due to an underprediction of snowfall by ERAI. The snow physics experiment highlights the sensitivity of the model to the partitioning between rainfall and snowfall when rainfall interception in the snowpack is neglected. The horizontal resolution has a crucial role in characterizing the snow cover over complex terrain (e.g., orographic areas, coastal and lakes regions). However, improved snow physical parameterizations and meteorological forcing are shown to be the key elements to achieve more accurate simulations of the snowpack and of the snow-atmosphere interactions, also over flat terrain.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America
    Garcia-Garcia, Almudena
    Cuesta-Valero, Francisco Jose
    Beltrami, Hugo
    Fidel Gonzalez-Rouco, J.
    Garcia-Bustamante, Elena
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2022, 15 (02) : 413 - 428
  • [22] Sensitivity of sea-level forecasting to the horizontal resolution and sea surface forcing for different configurations of an oceanographic model of the Adriatic Sea
    Bressan, Lidia
    Valentini, Andrea
    Paccagnella, Tiziana
    Montani, Andrea
    Marsigli, Chiara
    Tesini, Maria Stefania
    ADVANCES IN SCIENCE AND RESEARCH, 2017, 14 : 77 - 84
  • [23] Convergence of atmospheric simulations with increasing horizontal resolution and fixed forcing scales
    Williamson, DL
    TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 1999, 51 (05) : 663 - 673
  • [24] Assimilation of MODIS Snow Cover Fraction Observations into the NASA Catchment Land Surface Model
    Toure, Ally M.
    Reichle, Rolf H.
    Forman, Barton A.
    Getirana, Augusto
    De Lannoy, Gabrielle J. M.
    REMOTE SENSING, 2018, 10 (02)
  • [25] Simulating of snow cover formation by the model of interaction between the land surface and the atmosphere (SWAP)
    Gusev, E. M.
    Nasonova, O. N.
    LED I SNEG-ICE AND SNOW, 2019, 59 (02): : 167 - 181
  • [26] Sensitivity of a navy regional ocean model to high-resolution atmospheric model and scatterometer wind forcing
    Jones, H
    Batteen, ML
    Collins, CA
    Nuss, WA
    Miller, DK
    FIFTH CONFERENCE ON COASTAL ATMOSPHERIC AND OCEANIC PREDICTIONS AND PROCESSES, 2003, : 5 - 9
  • [27] Chlorofluorocarbon uptake in a World Ocean model .2. Sensitivity to surface thermohaline forcing and subsurface mixing parameterizations
    England, MH
    Hirst, AC
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1997, 102 (C7): : 15709 - 15731
  • [28] Forest cover algorithms for estimating meteorological forcing in a numerical snow model
    Hellström, RÅ
    HYDROLOGICAL PROCESSES, 2000, 14 (18) : 3239 - 3256
  • [29] Forcing the snow-cover model SNOWPACK with forecasted weather data
    Bellaire, S.
    Jamieson, J. B.
    Fierz, C.
    CRYOSPHERE, 2011, 5 (04): : 1115 - 1125
  • [30] Ocean model sensitivity to surface forcing
    Harrison, MJ
    Rosati, A
    NINTH CONFERENCE ON INTERACTION OF THE SEA AND ATMOSPHERE, 1998, : 91 - 97