1 / 19

Initial Value Assignments and Rainfall Forecast Data Processing in Climate Modeling

This script outlines the initialization of values in a three-dimensional climate data structure and processes accumulated rainfall from observed and forecasted data. It accommodates varying precipitation types and calculates resultant values while managing specific initial value settings (e.g., -99999). The model demonstrates functionalities to manipulate and print data related to stratiform, convective rain structures, and integrates a comprehensive forecast analysis of 6 and 12-hour accumulated rainfall, enhancing predictive accuracy for weather events.

nan
Télécharger la présentation

Initial Value Assignments and Rainfall Forecast Data Processing in Climate Modeling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Pcptye initial vaule

  2. print*,'initial value as -99999' do iprecip_type=0,5 cldpcp_type_3d=-99999 itype = cldpcp_type_3d itype = itype - (itype/16)*16 itype = itype + iprecip_type * 16 cldpcp_type_3d = itype/16 print*,iprecip_type,cldpcp_type_3d enddo The soure code : cldpcp_type_3d=-99999 itype = cldpcp_type_3d(i,j,k) itype = itype - (itype/16)*16 itype = itype + iprecip_type * 16 cldpcp_type_3d(i,j,k) = itype iarg = cldpcp_type_3d(i,j,k) pcptype = iarg/16 initial value as -99999 0 0 1 0 2 1 3 2 4 3 5 4 initial value as 0 0 0 1 1 2 2 3 3 4 4 5 5 print*,'initial value as 0' do iprecip_type=0,5 cldpcp_type_3d=0 itype = cldpcp_type_3d itype = itype - (itype/16)*16 itype = itype + iprecip_type * 16 cldpcp_type_3d = itype/16 print*,iprecip_type,cldpcp_type_3d enddo

  3. Wet buld temperature GSI orgin version GSI modified Qr:Green Qs:blue Qs:purple

  4. Stratiform and Convective

  5. 3km

  6. 13km

  7. 13km 3km

  8. Accumulated 12 and 6 hours rainfall

  9. 12 hour observed and forecasted accumulated rainfall from 2009061600 NoRef ob Control VarCld NoTrad CtrCv IAUDFI WRFDFI VarDCld

  10. 6 hour observed and 0~6 hour forecasted accumulated rainfall from 2009061600 NoRef ob Control VarCld NoTrad CtrCv IAUDFI WRFDFI VarDCld

  11. 6 hour observed and 6~12 hour forecasted accumulated rainfall from 2009061600 NoRef ob Control VarCld NoTrad CtrCv IAUDFI WRFDFI VarDCld

  12. 12 hour observed and forecasted accumulated rainfall from 2009061606 NoRef ob Control VarCld NoTrad CtrCv IAUDFI WRFDFI VarDCld

  13. 6 hour observed and 0~6 hour forecasted accumulated rainfall from 2009061606 NoRef ob Control VarCld NoTrad CtrCv IAUDFI WRFDFI VarDCld

  14. 6 hour observed and 6~12 hour forecasted accumulated rainfall from 2009061606 NoRef ob Control VarCld NoTrad CtrCv IAUDFI WRFDFI VarDCld

More Related