Ensemble Forecasts from EnKF Data Assimilation (GSI EnSRF, JEDI LETKF/LGETKF)
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://doi.org/10.7910/DVN/ICDC2P
下载链接
链接失效反馈官方服务:
资源简介:
These grib2 files contain ensemble forecast data including hourly accumulated precipitation, hourly composite reflectivity, and hourly maximum 2-5km updraft helicity from Ensemble Kalman Filter data assimilation. These datasets were prepared for submission of GRL manuscript. Forecast Model: FV3-LAM of SRWAPP version 2 DA Infrastructure: GSI EnSRF, JEDI LETKF and LGETKF 20190521 00UTC + 3 hr Each ensemble consists of 40 members ${EXP}.${MEMBER}.f${FCSTHR}.grib2 EXP: Experiment - NODA : forecasts without data assimilation - GSIEnSRF: forecasts from data assimilation analyses using Ensemble Square-Root Kalman Filter (EnSRF) from Gridpoint Statistical Interpolation (GSI) - JEDILETKF: forecasts from data assimilation analyses using Local Ensemble Transform Kalman Filter (LETKF) from The Joint Effort for Data Assimilation Integration (JEDI) - JEDILGETKF0.6: forecasts from data assimilation analyses using the gain form of LETKF from JEDI (60 % for retained fraction of variance for model-space vertical localization) - JEDILGETKF0.99: forecasts from data assimilation analyses using the gain form of LETKF from JEDI (99 % for retained fraction of variance) MEMBER: ensemble member (1-40) FCSTHR: foreast hour (1-3)
创建时间:
2022-12-20



