Towards the Operational Implementation of the Canadian Land Data - PowerPoint PPT Presentation

Towards the Operational Implementation of the Canadian Land Data Assimilation System Bernard Bilodeau Marco L. Carrera Dorothée Charpentier Mario Lépine Bruce Brasnett Stéphane Bélair Environment Canada 6 th WMO Symposium on Data Assimilation

CaLD CaLDAS AS at En t Envir vironment onment Canada Canada Need to modernize the land surface data assimilation system used to initialize numerical prediction systems at EC Currently, assimilation of surface and near-surface observations based on OI- type approach CaLDAS  emphasis on space-based data and on more sophisticated assimilation techniques http://collaboration.cmc.ec.gc.ca/science/rpn/SMAP

The he CaLD CaLDAS AS pr projects ojects Assimilation of screen-level air temperature 1 and dew point temperature to initialize soil CaLDAS-screen moisture and surface temperature; ensemble OI for snow depth (surface obs) Assimilation of L-band TBs from SMOS (and eventually SMAP) to initialize soil CaLDAS-SMOS/SMAP moisture Screen-level data used as forcing 2 Assimilation of GlobSnow SWE retrievals and of snow coverage area from MODIS CaLDAS-SNOW (eventually VIIRS) In combination with CaLDAS-SMOS/SMAP 3 Vegetation characteristics (LAI, veg) provided by CTEM Evaporation conductance obtained from CaLDAS-Veg photosynthesis in SVS Possible assimilation of MODIS / VIIRS for LAI

CaLDAS CaLD AS Sc Schema hematic tic OUT CaLDAS IN Analyses Ancillary land LAND surface data of… MODEL Orography, (SPS) x b vegetation, soils, water fraction, ... Surface ASSIMILATION Temperature Atmospheric EnKF + EnOI forcing Soil moisture y T, q, U, V, Pr, SW, LW OBS Snow depth or EnKF Observations SWE x a = x b + K { y – H (x b ) } Screen-level (T, Td) with Surface stations snow depth Vegetation* L-band passive (SMOS, SMAP) K = BH T ( HBH T +R) -1 MW passive (AMSR-E) *Optical / IR (MODIS, VIIRS) Combined products (GlobSnow) *) not done yet…

CaLD CaLDAS AS-scr creen een Configur Configuration tion Ensemble Kalman Filter for T2 Perturbed atmospheric forcing and w2; Ensemble OI for snow (precip, TT, SW, and LW) depth. Ensemble of CaPA precipitation 24 members analyses 3-h assimilation window Observations are OI analyses of T_2m and Td_2m (every 3h) and On 25-kmYin-Yang grid (will be surface measurements of snow on 15-kmYin-Yang grid next depth summer) Observation error from First guess from the Surface dispersion of OIs (for T_2m and Prediction System (SPS), also Td_2m); fixed values for snow known as GEM-Surf depth Only minor changes to land No bias correction surface scheme (still ISBA) Perturbations to analyses and to No changes to geophysical observations (except for snow) fields

Impr Improved ed Mean snow depth Sno Snow w Depth Depth Anal Analysis ysis with with CaLD CaLDAS AS Bias OBS CMC-OP Open Loop ENS-OI STDE Bélair et al, to be submitted.

In Winter… Improved Near -Surf Surface ace For orecas ecasts ts (Gr (Grea eater Impact o ter Impact on T n Temp) emp) Bias STDE Control Control CaLDAS CaLDAS 60 cases, in February and March 2011

In Summer… Improved Near -Surf Surface ace For orecas ecasts ts (Gr (Grea eater Impact o ter Impact on Td) n Td) Control Bias STDE CaLDAS Control CaLDAS 60 cases, in July and August 2011

Near Near-Surf Surface ace and Upper and Upper- Air… Conflicting Conflicting Biases Biases for temper or temperatur ture 120h, North America (against surface obs) (against radiosondes) Control CaLDAS GENERALLY TOO COLD at 2m BUT TOO WARM IN THE LOWER July and August 2011, 104 cases TROPOSPHERE

Plans Plans for Oper or Operational tional Implementa Implementation tion Currently being transferred to CMC-Operations as an experimental system (YY 25- km) Is expected to be part of YY 15-km implementation at CMC, together with EnVAR A 2.5-km version will soon be tested for regional forecasting system (Ops in Summer 2014) Correlation Version 2 (w/ SMOS, SMAP, between GlobSnow) expected for 2015 SMOS and CaLDAS first guess Tbs