Product User Manual for SAFNWC/MSG “Precipitating Cloud” (PC
Contents
1. 80 gt 85 to 95 90 gt 95 to 100 100 Please pay attention to that the value in the HDF5 dataset has to be multiplied by the scaling factor 10 as specified in the HDF file to arrive at the correct likelihood The product is supplied in HDF5 format and has the same resolution as in the original SEVIRI image Special count 15 150 used when no data value is available The forecaster is likely to receive the product displayed as an image similar to Figure 2 Using the 20 class as a threshold for precipitation detection gives a fairly save estimate of possible precipitation although some light to moderate precipitation migh be missed deep green in Figure 2 Using 30 as theshold light green in Figure 2 provides usually a subjectively better fit to radar data but more real precipitation remains undetected while there is still a slight overestimation of precipitation area 2 2 4 1 Flags The product contains also quality information in a separate field The quality information is indicating under which circumstances the PC product was derived Except for the field indicating whether solar channels were used it should not be of much interest to the forecaster and most likely it will not be required to visualize this information Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 SMHI Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v2. File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 NWC SAF Page T 2 2 3 Graphical overview of the Precipitating Clouds product PGE04 Sevir HW EF Tsurface Cloud Type HEIT data on region POEO2 PGE04 Read prepare input data For each pixel l FOE04 model config Pot raining cloud type 100 ne rain Configuration Region configuration Algorithm Calculate cloud type dependent Precipitation index FI configuration Get associated likelihood from table bet processing flags Likelihood tables for day and night Write output product 2 per day Calculate global statistics and write to file Free memory PC product Likelihood rain Statistics file Processing flags Figure 1 schematic overview over the Precipitating Clouds product Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 SMHI Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 NWC SAF Pace ae 2 2 4 Description of the output The precipitating clouds product gives the likelihood of precipitation e Class 1 total precipitation likelihood for rain gt 0 1 mm h e Class2 obsolete set to 0 The likelihood is given in intervals of 10 0O to 5 0 gt 5 to 15 10 gt 15 to 25 20 gt 25 to 35 30 gt 35 to 45 40 gt 45 to 55 50 gt 55 to 65 60 gt 65 to 75 70 gt 75 to 85
3. MSG Precipitating Issue 1 5 4 Date 15 July 2013 SMHI Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM b 4 v1 5 4 NWC SAF Page aap 1 7 SCIENTIFIC UPDATES SINCE MSG VERSION 2011 No scientific updates have been implemented since NWCSAF MSG version 2011 Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 SMHI Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 NWC SAF Pace sag 2 DESCRIPTION OF THE PRODUCT 2 1 GOAL OF THE PC PRODUCT Goal of the PC product is to give a first guideline to the forecaster where to expect precipitation especially for areas where no radar data is available The product provides the probability of precipitation for each Meteosat pixel Since the coupling of radiances from visible and infrared channels with precipitation is rather weak large areas are marked as potentially precipitating more than 10 precipitation likelihood The skill the derive stratiform precipitation is limited and potential precipitation area is overestimated but indicating low likelihood Strong convective precipitation can be better estimated from METEOSAT data than rain from stratiform precipitation and the NWCSAF convective rain rate product and the rapidly developing thunderstorm product can be consulted for more detailed analysis of severe convection 2 2 OUTLINE OF THE PRECIPITATING CLOUD ALGORITHM 2 2 1 General al
4. 1 5 4 NWC SAF Page nae Bit Meaning of he bit 1 0 0 Processed non processed MSG channels missing not missing CT used not used MSG solar channels used not used MSG land no land High terrain no high terrain NWP data missing not missing JN Io TOA WwW IN e MSG cloud mask low quality no low quality Table 3 Quality flags of PGE04 The quality information is indicating under which circumstances the PC product was derived 2 2 5 Statistics file The statistics file is an ASCII file summarising the distribution of probabilities over the complete region It can be easily used for verification whether 2 runs are identical Files may also be used to easily accumulate statistics on general algorithm performance MODERATE PREC PROBABILITY SAFNHC PGEO4 Figure 2 200901241200 precipitating clouds product over MSG N configured for day algorithm Dark green hues present precipitation likelihood classes 10 20 light green 30 yellow40 and orange red hues 50 and higher Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 Page 13 18 3 IMPLEMENTATION OF THE PRODUCT The implementation is described in Software User Manual AD 2 Interesting for the forecaster is that the region is configurable However auxiliary data for a new region has to be compiled beforehand Th
5. Code SAF NWC CDOP2 SMHV SCVPUM 4 Product User Manual tesue 1 5 4 Date 15 July 2013 SAFNWC MSG Precipitating Cloud Bae i y SMHI PC PGE04 v1 5 File SAF NWC CDOP2 SMHI SCI PUM NWC SAF dit ce ert Mgt ne NWC SAF SLA e Agere qt mipana verny Shot korije pomii Product User Manual for SAFNWC MSG Precipitating Cloud PC PGE04 v1 5 SAF NWC CDOP2 SMHI SCI PUM 4 Issue 1 Document Revision 5 4 15 July 2013 Applicable to SAFNWC MSG version 2013 Applicable to the following PGE s PGE Acronym Product ID Product name Version a PGE04 SAFNWC MSG PGE04 Precipitating Clouds l te Prepared by SMHI Product User Manual for COd SAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Cloud Issue 1 5 4 Date 75 July 2013 File SAF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 Page 2 18 PC PGE04 v1 5 REPORT SIGNATURE TABLE Prepared by SMHI Anke Thoss 15 February 2012 Reviewedby oo SO Pilar Fernandez Authorised by AEMET NWCSAF 15 May 2013 Manager Code SAF NWC CDOP2 SMHI SCI PUM 4 Issue 1 5 4 Date 75 July 2013 File SAF NWC CDOP2 SMHI SCI PUM SMH PC PGE04 v1 5 A v1 5 4 NWC SAF Page 3 18 DOCUMENT CHANGE RECORD Product User Manual for SAFNWC MSG Precipitating Cloud ae ped J Date ages 16 1 5 2 March 2009 Changes after DRI 2009 Corrected erroneous references and add short reference a Erroneous reference to PPS in chapter 1 3 deleted A
6. OBABILIT BI LO J Laa ee E le ra SAFNWC PGEO4 Figure 5 Example of the precipitating clouds product with a change from day to night algorithm diagonally over the British isles northward night algorithm south day algorithm Please note typical features precipitation area more spread out for night time algorithm less detailed features and no high precipitation likelihood At high satellite viewing angles the product becomes unreliable as seen by high precipitation likelihood at the rim of the Meteosat disk do not use for satellite viewing angles exceeding 60 degrees
7. WC CDOP2 SMHI SCI PUM 4 v1 5 4 Page 16 18 Hungarian dataset French dataset Night algorithm dispersed on cloud type Night algorithm dispersed on cloud type N WoO Ff O OQO N O O O O O O O Observed rain freq dS o pa 4 4 _ O gt p 2 2 O 0 0 10 20 30 40 50 60 70 0 10 20 30 40 50 60 70 Likelihood of rain Likelihood of rain m CT 11 14 CT 9 10 CT 11 14 CT 9 10 C T 17 CT 18 Cl 17 CT 18 Figure 4 Likelihood of rain versus observed rain frequency Same as Figure 3 but for night time Algorithm performance can be summarized as follows e At the 20 detection threshold day and night algorithms perform almost equally well whereas the day algorithm clearly exhibits more skill at the 30 threshold than the night algorithm 20 can be used as a kind of hardclustering threshold for precipitation but thresholding at 30 generally gives a better subjective fit to radar precipitation areas e Day and nighttime algorithms exhibit different characteristics and discontinuities at the day night deliminator are apparent see Figure 5 With just using IR channels at night there are less areas assigned high precipitation likelihood and the precipitation areas are less defined at night time For the night time algorithm precipitation occurrence is more strongly overestimated in winter in summer more actual precipitation is missed Both at 20 and 30 thres
8. ckages to be used for Nowcasting applications of operational meteorological satellite data by National Meteorological Services More information can be found at the SAFNWC webpage http www nwcsaf org This document is applicable to the SARNWC processing package for Meteosat satellites meteorological satellites SAFNWC MSG 1 1 SCOPE OF THE DOCUMENT This document is the Product User Manual for the SAFNWC MSG Precipitating Clouds product The document describes how to use the product after installation It is meant to support the interpretation as well as describe the possibilities and limitations 1 2 SCOPE OF OTHER DOCUMENTS The algorithm used in the Precipitating Clouds Product is described in more detail in the corresponding Algorithm Theoretical Basis document AD 6 Validation of the algorithm is detailed in the Validation report for Precipitating Clouds AD 1 Instructions how to install configure and execute the software are given in the Software User Manual for NWCSAF MSG Package AD 2 The Interface Control Documents AD 3 for the External and Internal Interfaces of the SAFNWC MSG and AD 4 MSG Output Product Format Definition detail the input and output data format for the SAFNWC MSG software 1 3 WHO SHOULD READ THIS MANUAL This document is intended for the end user i e the forecaster For the person in charge of building and installing the MSG software package thus the sys admin we refer to the Software Us
9. davsandsaiehissgudiaanidedoniardutadurraxiadiiend cacadiadaiasieaderisazieien 14 TA IN TT 15 5 1 SUMMARY OF VALIDATION RESULTS acijainseciahenliadtivianaineienssiaeeiesiaoerarientensawinsato 15 6 KNOWN PROBLEM AREAS AND LIMITATIONS cccccccccccccccccccccccccccccccccccccccccccccccecs 17 7 EXAMPLE OF PRODUCT VISUALISATION wrccssscssecossccossnaversenscovarsnnsensoeseseetarincesevseseaeeansooepeacinenes 18 Product Users Manuals for COU SAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Cloud Issue 1 5 4 Date 75 July 2013 File SAF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 Page 5 18 PC PGE04 v1 5 List of Tables and Figures Table 1 Listof Applicable DOCU SiS lt ccwccsncarmsosodasossseversaesvestndusososedesotenetesedenesedeuctedesedereterederedeueiets 7 Table 2 aS Or rd Ct sesser prersesoniotetemetenstasenenescahy tertenotemetesetumnmucions 7 Table 7 Quality aps of POO seereis aias tsaa aaea SEER eaat aeaa ai 12 Figure 1 schematic overview over the Precipitating Clouds product 10 Figure 2 200901241200 precipitating clouds product over MSG N configured for day algorithm Dark green hues present precipitation likelihood classes 10 20 light green 30 yellow40 and orange red hues 50 and higher 12 Figure 3 Likelihood of rain from PC product versus observed rain frequency Cloud type dependent tuning on French gauge data Left independent validation against Hungarian gauge data 2004 right perfo
10. e product generation is usually scheduled automatically by the task manager Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 SMHI Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 NWC SAF Page rR 4 INPUTS AND CONFIGURABLE PARAMETERS 4 1 LIST OF INPUTS Please note that the precipitating cloud product PGE04 requires the cloudtype product as input PGE02 and for that even the Cloudmask product has to be run PGEO1 NWP surface temperature Sun zenith satellite view zenith and sun satellite view relative azimuth difference angle Output from Cloud Type Seviri data 4 2 CONFIGURABLE PARAMETERS The Precipitating Cloud product has been designed to allow a full configuration and flexibility to update tune the algorithm without having to modify the code However most of these configurable parameters are only of interest to the developer The only configurable parameters potentially of interest to the users are the configuration of when to switch from day to nighttime scheme and that it is in principle possible to define which cloud types are treated as potentially raining e The default configuration is that the night time algorithm is activated when the sun zenith angle is greater than 80 degrees It is possible to configure the product to only use the night algorithm by setting the sun zenith angle threshold to O in the algorithm configurat
11. ececucsscececscecucsecescscucessseeeecs 6 1 6 FEIET E E iA EEE EAA 7 LO AP aO DOUe iA E A 7 LOs Roerence Documenis ee ROT ee ee REN On Pe e OAA EET 7 1 7 SCIENTIFIC UPDATES SINCE MSG VERSION 2011 oo ec cece cece ceeececececcececcncececcececececececescececececesseectctceeess 8 2 DESCRIPTION OF THE PRODUCT wiisicciiccdaricosccascccsvcdsceiacskesuvscevacossacsssvievedssesdinukesddsaaviceseatevinsessiaasbins 9 2 1 CGOALOF TREP PRODUCT orirriri rrena nirin SANE EEEO NONDE STAARE rRNS 9 Ze OUTLINE OF THE PRECIPITATING CLOUD ALGORITHM cccsceccecececececcececcucececescecscecececsescscecuceaeaeenes 9 22 1 Gonera OSG IS ELS ET SET eI eee eee eT Oe a re ee ee 9 22 2 Data sources for Frecipitationg COS sirrsisriissi istis iann nene uE NA EE AERAN ESNEVEN EA 9 2 2 3 Graphical overview of the Precipitating Clouds product PGEOA onnnennensnnnnnnnsennnsennsensenne 10 La Der piono Ee 61 1561 er EErEE EEE EE di VR MMS ESS fc SERRE Or et Te eee PORTE TEE TERT OR CREST ET TYEE TEU HOLT TVET ERE Src er ntye tert Sewer eT ht re rrer rer rr rtre te Tre ee errr i IMPLEMENTATION OF THE PRODUCT cccccccccccccccccccccccccccccccccccccccccccccccccccccccccscecs 13 4 INPUTS AND CONFIGURABLE PARAMETERS cccccccccccccccccccccccccccccccccccccccccccccccecs 14 4 1 LIST OF INPUT eee eR Cr ene ee ree eee ere Ree CeL een ree Paice Y eee ee ner Pere rete iiaii 14 A2 CONFIGURABLE PARAMETERS wisiciovsiieccidadicies
12. er Manual AD 2 which will of course also be relevant for the science admin For the person interested in the algorithms in detail we refer to the Algorithm theoretical Basis Document AD 6 1 4 SOFTWARE VERSION IDENTIFICATION This document describes the algorithms implemented in the PGE04 version v1 5 of the 2012 SAFNWC MSG software package delivery 1 5 DEFINITIONS ACRONYMS AND ABBREVIATIONS Acronym Explanation Acronym Explanation CDOP Continuous Development and CM Cloud Mask also PGEO1 Operational Phase CT Cloud Type also PGEO2 Product User Code SAF NWC CDOP2 SMHI SCI PUM 4 Manual for SAFNWC MSG Precipitating Cloud ee rea Ree a cee PC PGE04 v1 5 ae Page 7 18 Acronym Explanation Acronym Explanation CTTH Cloud Top Temperature Height PCPN Precipitation and Pressure also PGEO3 PGE Process Generating Element EUMETSAT European Organisation for the PI Precipitation Index Exploitation of Meteorological POD Probability Of Detection Satellites POFD Probability Of False Detection FAR False Alarm Rate RGB Red Green Blue FOV Field Of View SAF Satellite Application Facility HDF5 Hierarchical Data format SAFNWC Satellite Application Facility version 5 for support to NoWcasting IR Infrared SEVIRI Imager onboard MSG satellites LUT Look Up Table SMHI Swedish Meteorological and MSG Meteosat second generation Hydrological Institute NIR Near Infrared SW SoftWare NORDRAD Nordic Weather Radar Network TOA Top Of Atmo
13. gorithm design The precipitating clouds product gives the total likelihood of precipitation without attempting to estimate intensity To derive the likelihood of precipitation a precipitation Index PI is constructed from those IR and visible spectral features which are most correlated with precipitation The precipitation likelihood for each value of the PI is determined statistically by comparison with collocated precipitation measurements For the tuning of the current algorithm version French gauge network measurements for one year of data were used In the calculation of the PI special attention has been given to spectral features in the visible which implicitly contain information on cloud microphysical properties at the cloud top such as effective radius and cloud phase The algorithm employed is cloud type dependent in the sense that mapping from PI to precipitation likelihood makes use of cloud type dependent lookup tables For the PI calculation a day and a night version exists where the night version only makes use of IR channels not influenced by sunlight 2 2 2 Data sources for Precipitationg Clouds e Meteosat visible and IR channels Daytime vis0 6 NIR1 6 IR3 9 IR6 2 IR7 3 IR10 8 IR12 0 Nighttime IR6 2 IR7 3 IR10 8 IR12 0 e Cloud type product e NWP surface temperature Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 SMHI Cloud PC PGE04 v1 5
14. hold precipitation occurrence is overestimated e The work with separating cloud types has shown that gt Cloud type class 9 10 medium level cloud precipitation is overestimated at 20 percent detection level gt Cloud type class 17 and 18 thick cirrus and cirrus over lower cloud give bad results overall gt Cloud type class 11 14 high and very high cloud seems to be the easiest to handle gt Considering cloud low clouds CT 8 as possibly precipitating might be considered in the following versions Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 Page 17 18 6 KNOWN PROBLEM AREAS AND LIMITATIONS e The current version of the product contains a certain dependence on sun zenith angle e There is also a clear jump in algorithm performance between day and night algorithm which cannot be totally avoided e The product degrades considerably at high viewing angles and use for viewing angles greater than 60 degrees is not recommended e The algorithm does currently not detect any precipitation from low clouds Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 SMHI Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 NWC SAF Page e 7 EXAMPLE OF PRODUCT VISUALISATION MODERATE PREC PR
15. ing to algorithm performance Which threshold of total precipitation likelihood does best divide the precipitating from the non precipitating events Usually 20 or 30 of total precipitation likelihood The performance of this hard clustering is verified using contingency tables Evaluating the performance at different threshold levels gives also an overview of how closely assigned probability values match real occurrence of rain as illustrated in Figure 3 and Figure 4 Hungarian dataset French dataset Cloud type dependent tuning Cloud type dependent tuning Day algorithm Day algorithm 80 70 32 70 60 F 60 50 lt 50 T z 40 40 x S 30 g 3 3 20 ge O 10 10 0 0 0 10 20 30 40 50 60 70 0 10 20 30 40 50 60 70 Likelihood of rain Likelihood of rain CT 1 1 14 CT 9 10 CT 11 14 CT 9 10 CT 17 CT 18 Cl 17 CT 18 Figure 3 Likelihood of rain from PC product versus observed rain frequency Cloud type dependent tuning on French gauge data Left independent validation against Hungarian gauge data 2004 right performance on dependent French gauge data set 2004 verified against 30 min averages in gauge data Blue high and very high clouds red medium level clouds green thick cirrus cyan cirrus over lower clouds Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 Cloud PC PGE04 v1 5 File S AF N
16. ion file This would avoid discontinuities in the product at the day night deliminator on the cost of degrading performance during day time e In principle it is possible to configure which cloud classes are treated as potentially raining Please consult the NWCSAF helpdesk before changing the validated default configuration The possible configurable parameters are described in the Software User Manual AD 2 Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC MSG Precipitating Issue 1 5 4 Date 15 July 2013 Cloud PC PGE04 v1 5 File S AF NWC CDOP2 SMHI SCI PUM 4 v1 5 4 Page 15 18 5 VALIDATION 5 1 SUMMARY OF VALIDATION RESULTS The PC product can be validated against co located radar data synop current weather observations or rain gauge data For more information on product validation see validation reports AD 1 and AD 6 When verifying likelihood results of the PC product it is important to somehow quantify the algorithm performance and give guidance to answer the question whether it is raining or not It is important to understand that a simplified categorical estimate which has been derived from the likelihood distribution degrades the product on the one hand no fair comparison but on the other hand makes it more practical to use for the forecaster A simple way to convert likelihood estimates into easily verifiable estimates of precipitation is to set a threshold for rain accord
17. pplicable documents dates and codes updated clarified reference to last scientific update in section 1 7 1 5 1d 19 April 2010 22 no scientific updates Adapted date issue and revision to v 2010 eel eel Included reference to VS report nov 2009 8 8 v2011 1 5 3 d 11 October 2011 8 No scientific updates Adapted date issue and rev to 8 8 No scientific updates Adapted date issue and rev to Acronym list updated 1 3 2d 11 February 2011 No scientific updates Adapted date issue and rev to v2013 i 1 1 i 1 Code SAF NWC CDOP2 SMHI SCI PUM 4 PEO ie Maa o A aes PA Date 25 ayo SAFNWC MSG Precipitating Cloud Fite SAF NWC CDOP2 SMHI SCI PUM SMHI PC PGE04 v1 5 4 v1 5 4 NWC SAF Page 4 18 Table of contents L i d 2s OBE CTE eeteenneerrcnes erarrecrsorenen nae tet Reta oer Keene cra mene Mee cere tree Ss wee b mera ren tres amen Meera mre terranes 6 1 1 SCOPE OF THE DOCUMENT didssicisictiaseinsatacntiadaniadunenirsiiaiaaboteganeeubnaisuapauieniadinadiabebsiebseaemsiaisaavanaiaiiers 6 1 2 SCOPE OF OTHER DOCUMENTS keorreiiiireiihiinitddi Pirr ih RIEAN E i h kin E REER ITERA 6 1 3 WAO SHOULD READ THIS MANUAL svrcivairstaccrccavceesevninetatnaaaauniaepebasshonnactainiassabonssausiaadigeiabaiwecsoraineintes 6 1 4 SOFTWARE VERSION IDENTIFICATION sisdisiavencscisesonennvisanneseatiwaduniaioeindctasacausaaniaeraninadsdeateareaesabernacien 6 L3 DEFINITIONS ACRONYMS AND ABBREVIATIONG ceccececccececescecececcccecec
18. rmance on dependent French gauge data set 2004 verified against 30 min averages in gauge data Blue high and very high clouds red medium level clouds green thick cirrus cyan cirrus over lower clouds 15 Figure 4 Likelihood of rain versus observed rain frequency Same as Figure 3 but for night time 16 Figure 5 Example of the precipitating clouds product with a change from day to night algorithm diagonally over the British isles northward night algorithm south day algorithm Please note typical features precipitation area more spread out for night time algorithm less detailed features and no high precipitation likelihood At high satellite viewing angles the product becomes unreliable as seen by high precipitation likelihood at the rim of the Meteosat disk do not use for satellite viewing angles exceeding 60 degrees 18 Code SAF NWC CDOP2 SMHI SCI PUM 4 PRU i aes PA Date 25 Tayo SAFNWC MSG Precipitating Cloud File SAF NWC CDOP2 SMHLSCI PUM SMHI PC PGE04 v1 5 4 v1 5 4 NWC SAF Page 6 18 1 INTRODUCTION The Eumetsat Satellite Application Facilities SAF are dedicated centres of excellence for processing satellite data and form an integral part of the distributed EUMETSAT Application Ground Segment http www eumetsat int This documentation is provided by the SAF on Support to Nowcasting and Very Short Range Forecasting SAFNWC The main objective of SAFNWC is to provide further develop and maintain software pa
19. sphere NWP Numerical Weather Prediction USGS U S Geological Survey PC Precipitating Cloud also VIS Visible PGE04 For a list of SAF acronyms see also RD 1 1 6 REFERENCES 1 6 1 Applicable Documents AD 1 Validation Report for Precipitating Clouds PC SAF NWC CDOP SMHI SCI VR 01 1 4 19 11 07 A papoa 2 ene Aod PO SENSE 14 WT AD 2 Software User Manual for the SAFNWC MSG E ae E a AD 3 Interface Control Document for the External SAF NWC CDOP INM SW ICD 1 15 02 2012 OT ad meral ertcevofihe SAPNWOMSG ee AD 4 SAFNWC MSG Output Product Format SAF NWC CDOP INM S W ICD 3 15 02 2012 PT Denon o o au roda Tomat BAe f 60 f 190820 AD 5 Architectural Design Document for the ann oe Semone eel sarnwe AD 7 AD 6 Algorithm Theoretical Basis Document for SAF NWC CDOP SMHI SCI ATBD 1 5 3 15 02 2012 Precipitating Clouds PC PGE04 v1 5 04 Cross Verification of the Rapid Visiting scientist report by 15 11 2009 Development Thunderstorm and the Eszter L b Maria Putsay Precipitation Products of the Zs fia Kocsis and Ildik Nowcastion and Vert Short Range Szeny n Forecasting SAF Table 1 List of Applicable Documents 1 6 2 Reference Documents RD 1 The Nowcasting SAF Glossary SAF NWC CDOP INM MGT GLO 15 04 2011 SAF NWC INM MGT PRD 17 11 2011 aii SAFNWC Product Requirements Document Table 2 List of Referenced Documents Product User Manual for CodeSAF NWC CDOP2 SMHI SCI PUM 4 SAFNWC
Download Pdf Manuals
Related Search