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  1. Input analysed snow depth from the 2D-OI (arpifs/obs_preproc/obsgen.F90)
  2. Calculate and input additional EDA Jacobians related to snow (gen/fetchmars, arpifs/sekf/sekf_geteda_jacobians.F90)
    • Covariances between soil moisture (CV) and snow depth (OBS) are set to 0
    • Covariances between snow water equivalent (CV) and 2m temperature, relative humidity, soil moisture (OBS) are also set to 0
      • These 2 settings mean that observations to analyse each control variable are similar to the current systemsnow and soil moisture analysis are independent each other at the moment
    • Jacobians between snow water equivalent (CV) and snow depth (OBS) are set to 1/rsn (based on the relationship in the model)
  3. Analyse snow water equivalent using the analysed snow depth and Jacobians (arpifs/sekf/sm_ekf_main.F90)
    • σo=0.01 [m]
    • σb=2.0 [kg/m2] (=0.01 [m] if rsn=200 [kg/m3])
  4. So far, increments for snow water equivalent are not reflected to the analysis field (offline calculation only)

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  • Similar pattern is seen between the analysis increments for SWE in (1) the 2D-OI and (2) the SEKF.
  • Note that large differences are seen in some regions due to inconsistency of snow density between the 2D-OI analysis and trajectory (lower limit of 100kg/m3 in the 2D-OI but 50kg/m3 in the model).
    • When SWE from the 2D-OI is assimilated directly in the SEKF (3), such differences are not seen.
    • (The trial branch: dako_CY48R1.1_SEKF_tmp)
    • This will be not an issue in the future when snow depth observations are assimilated directly in the SEKF

sekf_inc_l1.grib(SM1)sekf_inc_l2.grib(SM2)sekf_inc_l3.grib(SM3)

Cntl

(hzx1)

Test

(i5eq)

  • Analysis increments for soil moisture are the same (bit-identical) between before and after the changes.

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  • Input snow observations directly in the SEKF (the same similar work as soil moisture analysis using analysed 2m temperature and relative humidity)Need to implement a localization in observation space
    • Each QC also should be implemented in the SEKF
  • Consider flow-dependent background errors 

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