Product User Manual
Contents
1. 1 W Wagner G Lemome and H Rott A method for estimating soil moisture from ERS scatterometer and soil data Remote Sensing of Environment vol 70 no 2 pp 191 207 1999 2 V Naemi K Scipal Z Bartals S Hasenauer and W Wagner An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations IEEE Trans Geosci Remote Sensing vol 47 no 7 pp 1999 2013 2009 3 V Naeimi C Paulik A Bartsch W Wagner R Kidd S E Park K Elger and J Boike ASCAT Surface State Flag SSF Extracting Information on Surface Freeze Thaw Conditions From Backscatter Data Using an Empirical Threshold Analysis Algorithm IEEE Transactions on Geoscience and Remote Sensing 2012 4 Naemi V Paulik C Bartsch A Wagner W Kidd R Park S E Elger K Boike J 2012 ASCAT Surface State Flag SSF Extracting Information on Surface Freeze Thaw Conditions From Backscatter Data Using an Empirical Threshold Analysis Algorithm IEEE Transactions on Geoscience and Remote Sensing 50 7 2366 2582 doi 10 1109 TGRS 201 1 2177667 Doc No SAF HSAF CDOP2 PUM 25 1 1 Product User Manual PUM 25 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 18 22 3 Product validation Detailed information about product validation can be found in the corresponding Algorithmic Theoretical Baseline Document ATBD RD 2 4 Product availability 4 1 Site The product2. sensor ASCAT source Metop ASCAT Level 1b SZR NetCDF Climate and Forecast CF Metadata Convention Table 4 Global NetCDF Attributes 2 4 2 3 NetCDF variables and attributes The rest of the file attributes is described in the following tables Table 5 Attribute table for variable location id Table 6 Attribute table for variable lon Doc No SAF HSAF CDOP2 PUM 25 1 1 REE Product User Manual PUM 25 soto Asean e HSA Issue Revision 1 1 o Product H25 SM OBS 4 Date 20 10 2014 Page 13 22 Table 7 attribute table for variable lat Number of observations at this location Table 8 Attribute table for variable row_size Table 9 Attribute table for variable time Table 10 Attribute table for variable sm Table 11 Attribute table for variable sm_noise Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product User Manual PUM 25 Product H25 SM OBS 4 Date 20 10 2014 Page 14 22 Table 12 Attribute table for variable orbit_dir flag_ meanings default soil moisture set_to 0 it was between_0 and 50 soil moisture set_to 100 it was between_100 and 150 soil moisture _set_to NaN _ it_was_ below_ 50 soil moisture _set_to NaN it_was above 150 normalised_backscatter_is out_of limits or dry wet reference is NaN Table 13 Attribute table for variable proc_flag Table 14 Attribute table for variable por_gldas Porosity derived from Harmonised World Soil Database H
3. The ERA 40 re analysis Quarterly Journal of the Royal Meteorological Society 131 2961 3012 Wagner W Lemome G amp Rott H 1999 A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data Remote Sensing of Environment 70 191 207 Doc No SAF HSAF CDOP2 PUM 25 1 1 Product User Manual PUM 25 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 20 22 Annex 1 Introduction to H SAF The EUMETSAT Satellite Application Facilities H SAF is part of the distributed application ground segment of the European Organisation for the Exploitation of Meteorological Satellites EUMETSAT The application ground segment consists of a Central Application Facility CAF and a network of eight Satellite Application Facilities SAFs dedicated to development and operational activities to provide satellite derived data to support specific user communities See next figure k Fo SYUMNOAA EUM Geostationary E EUM NOAA sources Systems Cooperation Data Processing EUMETSAT HQ Meteorological Products Archive amp Retrieval Extraction Facility Data Centre Satellite Application EUMETSAT HQ EUMETSAT HQ Facilities SAFs Figure 5 Conceptual scheme of the EUMETSAT Application Ground Segment Next figure reminds the current composition of the EUMETSAT SAF network in order of establishment OSI SAF 03M SAF CM S e GRAS SAF e H SAF Nowcasting
4. 28 404 412 Naemi V Scipal K Bartals Z Hasenauer S amp Wagner W 2009 An improved soil moisture retrieval algorithm for ERS and METOP scatterometer observations IEEE Transaction on Geoscience and Remote Sensing 47 1999 2013 Reynolds C A T J Jackson and W J Rawls 2000 Estimating soil water holding capacities by linking the Food and Agriculture Organization soil map of the world with global pedon databases and continuous pedotransfer functions Water Resour Res 36 9 Doc No SAF HSAF CDOP2 PUM 25 1 1 Product User Manual PUM 25 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 19 22 Saxton K E amp Rawls W J 2006 Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions Soil Science Society of America Journal 70 1569 Uppala S M Kallberg P W Simmons A J Andrae U Bechtold V D Fiormo M Gibson J K Haseler J Hernandez A Kelly G A Li X Onogi K Saarinen S Sokka N Allan R P Andersson E Arpe K Balmaseda M A Beljaars A C M Van De Berg L Bidlot J Bormann N Caires S Chevallier F Dethof A Dragosavac M Fisher M Fuentes M Hagemann S Holm E Hoskins B J Isaksen L Janssen P Jenne R McNally A P Mahfouf J F Morcrette J J Rayner N A Saunders R W Simon P Sterl A Trenberth K E Untch A Vasiljevic D Viterbo P amp Woollen J 2005
5. amp Very Ozone amp Atmospheric Numerical Weather Operational Hydrolog Short Range Forecasting Joram and SEAGE Chemistry Monitoring Prediction GRAS He otolog Lang PUES Analyste amp Water Management Figure 6 Current composition of the EUMETSAT SAF Network in order of establishment H SAF objectives and products The H SAF was established by the EUMETSAT Council on 3 July 2005 its Development Phase started on 1 September 2005 and ended on 31 August 2010 Its first Continuous Development and Operations Phase CDOP started on 28 September 2010 and ended on 28 February 2012 The SAF is now in its Second Contmuous Development and Operations Phase CDOP 2 started on 1 March 2012 and will end on 28 February 2017 Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Date 20 10 2014 Page 21 22 Product User Manual PUM 25 Product H25 SM OBS 4 The H SAF objectives are a to provide new satellite derived products from existing and future satellites with sufficient time and space resolution to satisfy the needs of operational hydrology identified products e precipitation e soil moisture e snow parameters b to perform independent validation of the usefulness of the new products for fighting against floods landslides avalanches and evaluatmg water resources the activity includes e downscaling upscaling modelling from observed predicted fields to basin level e fusion of satellite derived measurements with
6. probability and gives the probability for the occurrence of snow for any day of the year Advisory flag inundation The fraction coverage of inundated and wetland areas are derived froma and wetland fraction combined analysis of the Global Lakes and Wetlands Database GLWD Level 3 product 2004 and the Global Self consistent Hierarchical High resolution Shoreline database GSHHS v1 5 2004 which includes several wetland and inundation types Advisory flag topographic The topographic complexity flag is derived from the GT OPO30 data The standard complexity deviation of elevation is calculated and globally normalized between 0 and 100 Table 3 Overview of product parameters A conversion from degree of saturation to absolute units m m is possible by multiplying with porosity 8 p 100 where 8 is absolute soil moisture in m m p is porosity in m m and sis degree of saturation As it can be seen n this equation the accuracy of soil porosity is as import as the relative soil moisture content 2 3 Product resolution and grid The spatial resolution of the product is 25x25 km and based on the WARP5 grid RD 1 The WARP5 grid represents a discrete global grid DGG with a grid spacing of 12 5 km In total there are 3264391 grid points where 839826 are land points The location of the pomts can be viewed interactively with the internet browser tool DGG Point Locator Figure 1 at the following location
7. F EerrekkkerE i EE OO e cercece x 5 1015 mu ae 311 HO ai mr Eo LE GT WT ME 75 05 El ul 1 354 H JOE 1967 5169 1109 115 3100 ima HINE LAN E Lac eG 15771 18 t ATL MISTY LEAD 7 r a E E E E E E Kk amp ah iem an la r A ii del ua E HR Ll i E E a tm ee al ESTER Eee H E MENETE H He m 310 i aD ali iH 5 BLE pi Pi its bet so a wi T 7 aaa Simi SEE po E ane cece EEEE bi 0 r i y A i E E 4 E E a Io if a m a ls T E a g u a M El u w a iE bi 7 Pasaia B les mi Ho miy pap M5 a al ar a PE 54 mi a MESTI Ba is aed 0 2009 200 ae vast a EET EECEECE aa 1ye maes wanas a 3 MAS ELL Ba pr i E te pet pet ere mE m ce A Lis i E Ba ME EE EE ERE E CEE Per clot am e re El Sen Lz sO fet BE Dre CEE E ERE CEE EkEkkkEEEEE Reece CUERREC EECEL EE CEECCEEEEEE ADEA 2306200012007 1000 1500 1575 xD K E il acre fe te re ee Pe en en PO E TEE AO LL LIT As STT CE EKEKECCEECY 2100 2041 aiaz A MARIA SA MAA e Pa Da ME Ml CA CC E EE EEE a Moa I E Mi J A UE i aaa ae G llo E a ho a G ha ello bit i a a ope as ue ra oala bid i ah a O E ee E a ce er oe er i e 8 4 dd dl os ASS a a A 2557 230 20 as en MAT INB a La a w a AE IM OA paia 1 ATE a a 7 2200113181 2065 2901 2617 2463 2099 1538 1571 gt m S mi a A a a eee ec foe pe er pos ee oe H a E d a 8 8 amp amp M 8 amp AA O AA OA A A o a a a a O A A A O A le le A A A u a ae RR eee ee eee ee ee ee eee eee a a ee ee ee pii f
8. http www 1pf tuwien ac at radar dv dgg Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 9 22 Product User Manual PUM 25 r OED NN NEO emcee IG gt ie gt Ty aw 1 Dd DGG POINT LOCATOR Y Y o Y or SNSPA A 2306679 45 14 13 83 8825 m AE 2302145 45 02 13 96 11307 m Mis 2311213 45 25 14 01 15032m P 2311209 45 25 13 85 15296 m 2302141 45 02 13 80 15600 m 2306675 45 14 13 67 21269 m reny 2311247 45 25 14 17 23047 m 2311205 45 25 13 69 23561 m 2297595 44 91 13 93 23696 m nol 2302137 45 02 13 64 25901 m 0 2297599 44 91 14 09 26534 m 2315731 45 36 13 88 26678 m 2297591 44 91 13 77 27025m 23157351 45 36 14 04 27531 m 2302153 45 02 14 27 28856 m 2315727 45 36 13 72 31293m 2 2315739 45 35 14 20 33437 m 2306671 45 14 13 51 33755 m 2311221 45 25 14 33 33905 m inda 2297603 44 91 14 25 34028 m SE 2311201 45 25 13 53 34489m 2297587 44 91 13 51 3792 m 2293037 44 80 13 90 36289 m 2293041 44 80 14 06 37494m A Zrel 2302133 45 02 13 48 37553 m 2320245 45 47 13 91 38875m 2293033 44 80 13 74 39226 m 2315723 45 36 13 56 39505m 2320249 45 47 14 07 40151 m 2302157 45 02 14 43 40857 m 2306695 45 14 14 46 41299 m y AO r3 E 2320241 45 47 13 75 41532m Ravenna 7 gt j yar 231
9. 5743 45 26 14 36 42331 m VA Siy N r ny 2293045 44 80 14 22 42491m y 2297607 44 91 14 40 43854 m 5 2297583 44 91 13 45 44743 m k 2320253 45 47 14 23 45026 m 2293029 44 80 13 59 45510 m 2311225 45 25 14 49 45619 m 2311197 45 25 13 37 46228 m 2306667 45 14 13 35 46249 m 2320237 45 47 13 59 47465 m 2288471 44 69 15 88 48926 m go to grid pomt search pomts near positon export points by country XML a 2S 323928836 HEEE 13 936157227 Pra Q search cy iS xml Figure 1 Screenshot of the DGG point locator 2 4 Structure and format of the product 2 4 1 Data file format and file naming The product is provided as time series on a global discrete grid DGG stored in NetCDF 4 All files follow the NetCDF Climate and Forecast CF Metadata Conventions version 1 6 RD 3 The grid points are organised in cells in order to reduce the number of files The cell size is defined as 5x5 degree and does contain up to 2000 grid points mainly depending on the latitude The cell number and the number of grid points per cell are shown in Figure 2 Doc No SAF HSAF CDOP2 PUM 25 1 1 OT Product User Manual PUM 25 A Issue Revision 1 1 Foc ties Product H25 SM OBS 4 Date 20 10 2014 Page 10 22 AAA dE SAA A AMALIA 2 00010008000 E M8 08 0015 TLOM MA APH 105 SL RAY 123 309 305 41 487 501 508 505 LL CAT GA TLS 795
10. Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product User Manual PUM 25 Product H25 SM OBS 4 Date 20 10 2014 Page 1 22 EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management The EUMETSAT Network of Satellite Application Facilities H SAF Support to Operational Hydrology and Water Management Product User Manual PUM for product H25 SM OBS 4 Metop ASCAT Soil Moisture Time Series Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product User Manual PUM 25 Product H25 SM OBS 4 Date 20 10 2014 Page 2 22 DOCUMENT CHANGE RECORD Issue Revision Description 0 1 Document created 0 2 Major revision ofthe document O Updated section 3 Revision ofthe complete document 0 5 Revised document format 0 7 Version prepared for delivery of product in demonstrational status Minor updates in section product availability Minor changes in headlines page breaks links 1 0 Minor updates for version WARP 5 5 R2 1 1 1 2014 10 20 Minor update for version WARP 5 5 R2 2 andupdate S Hahn of the product change log 06 2013 10 16 Updated product introduction and characteristics Doc No SAF HSAF CDOP2 PUM 25 1 1 Product User Manual PUM 25 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 3 22 Table of content E oie os ato MARA EE PEPA o A enone arnt irene 5 1 1 PUSS Ol Pie OC UMS OG arc 5 1 2
11. Ha 807 a 0489 835 SOL DONT 1000 MIPA LLLS EDS LAAT 1003 1058 LD 123 ABET AS USO US ESN LSAP SU TY ORL IPE E O ES LETE E LM LES USO LS p EMH 1310 2015 241 204 DAR 1529 1555 1581 E E E i el dd 4 4 E E E amp E E 2 A E dd 2 E A 4d dd XX E E A K yl kil E A 4 2 dd KE dd amp 8 QQ HN A 8 NN Ed E BH 4 A MRM WI De E A ety LA 1159 1186 102 1054 1354 11 nb DUOL BANE LADO ENIG 1506 1502 1528 1854 2050 1 TED IPAE LEM 19081942 1978 DLA 2058 2086 LII aa nunan wns yanma 210 aaae zama BEM 1550 j E TI i a a E lala A A SS OP MA TC TO O ee la ME E ML peas EX 00 106 ia 177 203 249 20 eT RO A A a Sar PEA a we METE OE OS AGH 157 STR DA DOG DOM 2 MLL RDO LL 57 1298 ear YEESEEERE ane aaas ah 68 a IA 8 H 8 al i o Ei a G EA m2 a asa a tt le i Min e er E e Se D Be E Bia th e de aed ee ee CM Lot ee qa A en ATA A E pe e 1 Fees Ee sea ac A j ME EEE ENE ETETEN 0 s BR DON 2900 2000 1275 ALA TN LIM L229 LISE 1HE abet 20 Se DAT 1500500 1500 16361667 1760 Gu LG ate ae mA i ANTE 200 Doia un i 258 2508 fa jo W i F J i j i mE J ad mej aj aj a y DI Mes yl ll pial f Bam ul u u a a EEE ae e ccercRe er toc ca SS aa ol id EEEL EELEE EEr EEEE reer IA e A es ber eee EEE A EE EEEE EEEE EE EEEE EEEE EEEE EEE a A F Ceeeeeeemeeer a A a ICE EE ada EE at a a uw Ses eee 1177 ay u par ode cee ap PEERSERE A A we eee oe mee te ke a a al l a H 7 ina al
12. Relevant staff associated to the User Service and the product ooccooccocccocnccnnocnnncnoncnoncnononos 5 2 fi 686 1016 el do 0 eRe e eee eer Po uo A 6 2 1 Product change log and KNOWN ISSUES ooccooccoocnncnoncnnnnnnncnonnnnnnonononnnonnonononnnonnnoncnonnnncnoncnonnnoss 6 2 2 vas qc A E A N 7 2 3 Product Te SONORAN O11 oleo ar Ea EE iio ic 8 2 4 Structire aiid Tormat OF the produci esis seseesiseveaaeceasditaceaees svnasabiwbracoudidedestadehidetbidecewedieceneaialees 9 241 Data tile format and Tile naming serisine iii 9 ZA NED Te SUCIO caia 11 vico Example NEEDED 16 25 AAA yA 17 o PONCE Valdano ataron 18 A Product ayala Dili essa ccarin titanio E 18 4 1 o e e e stants E E AE E A E 18 4 2 Cn OTO S a a ta iiaoaa 18 ios a E E EEE oo E E AE EE 18 RT A Un EE TE e E o E A E 18 Annex 1 Introduction to H SAP 20 ccccccccecceecceeeceeeeeeeeeeeeeeceeeceseeeseeeseeseeeeeseeeeeneeeeeeseseneseeenees 20 RAVINE Ke COM ee e E Sabnustananiatoussetehl Aatatwadlenssanndaeidabd sanatsaatntsensdeaseaseaaas 21 Doc No SAF HSAF CDOP2 PUM 25 1 1 Product User Manual PUM 25 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 4 22 List of Tables Table 1 Relevant persons associated to the User service and to product SM OBS 4 ooocccccccncccncnnncnnnonos 6 Table 2 Product change log and known ISSUES ooccooccoccnncnnncnoncnonconcnoncnonnnonnnoncnnnnnnnnonnnnnnnnnnnnnnonnnoninoninnss 7 Table Overview OF prod
13. Thomas Melzer Pa ANEDE O ECE AN HG RO thomas melzer geo tuwien ac at thomas melzer geo tuwien ac at tuwien ac at christoph paulik geo tuwien ac at paulik christoph paulik geo tuwien ac at tuwien ac at christoph reimer geo tuwien acat reimer geo christoph reimer geo tuwien acat ac at Christoph Paulik C hristoph Reimer Product Operations Team Barbara Zeiner Zentralanstalt fur Meteorologie und Geodynamik Leader ZAMG b zeiner zamg ac at 2 Product description The surface soil moisture data SSM are retrieved from the radar backscattering coefficients measured by the ASCAT Advanced Scatterometer onboard the Metop satellite Figa Saldafia et al 2002 using a change detection method developed at the Research Group Remote Sensing Department for Geodesy and Geoinformation GEO Vienna University of Technology TU Wien In the TU Wien model long term Scatterometer data are used to model the incidence angle dependency of the radar backscattering signal Knowing the incidence angle dependency the backscattering coefficients are normalised to a reference incidence angle Finally the relative soil moisture data ranging between 0 and 100 are derived by scaling the normalised backscattering coefficients between the lowest highest values corresponding to the driest wettest soil conditions The derived soil moisture product represents the content in the first 5cm of the soil in relative units between totally d
14. WSD using formulas defined by Saxton and Rawls 2006 Table 15 Attribute table for variable por_hwsd flag values 0 1 2Z 3 4 Doc No SAF HSAF CDOP2 PUM 25 1 1 me somera Product User Manual PUM 25 state Asc z H SAF Issue Revision 1 1 a Product H25 SM OBS 4 Date 20 10 2014 Page 15 22 coordinates time lat lon flag_meanings OA unfrozen frozen_ temporary melting water_on_the surface permanent_ice Table 16 Attribute table for variable ssf Table 17 Attribute table for variable advf_frozen_prob Table 18 Attribute table for variable advf_snow_prob Table 19 Attribute table for variable advf_wetland Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Date 20 10 2014 Page 16 22 The EUMETSAT Network of Soteie Application Focaties Product User Manual PUM 25 Hydrology and Wolter Product H25 SM O BS 4 Table 20 Attribute table for variable advf_topo Table 21 Attribute table for variable doy 2 4 3 Example NetCDF file An example of the NetCDF product is shown in the folowing Figure 3 The viewer used for this example is ncBrowse available at http www epic noaa gov ja va ncBrowse TUW_METOP_ASCAT_WARP5SR21_2012 nc Table View File Edit View Window Help Dimensions Select Variable for Display Description File UW_METOP_ASCAT_WARP55R21_2012 nc local Attributes 36 row_size locations length 600 index
15. arsa 230 206 262 2088 1534 1520 H a a aag a g al H he a a a amp w a u a e oo a a a DA A AO A A A A U a o EEE bennon PO E Md isi iao 01 Ma A dl e d d w y y g O O yA iol a sal sad kil dd dd odo Helse ener See y itl BN BRE POL DK BONG 1185 ia bei 1801 10 sce A IC APC CAL IL e Bira Resi Dem bear ir E A a i oe E E prgprg ee amp a s Ar ka ia isi 100 aa ak A a aaa k 8 b Ll a k ki i 6 0 0 a a CECI 2 re MAA DI E ee ee ee ee ee 8 A B A m y BL K Y 5 BOF i A menr 3 1505 PAIE 2057 2483 1598 1565 r s A t m g i Ma a UME 1504 MOG Be AT a a E a E d U H E A amp g H a iS 151 UP 24 26 00 eT g ee DO DO O DU O ee Tu E e tes los a ul o je hb i E i i E E q Ll m m Li HE IMT I 2013 2056 2054 2537 1540 E i el ni E E 20H 1 ME DAA BD 1506 1562 a E P H E a E E UF Daim TN E E E E g A O A A oe S li E d amp E we giu A E Rf g pas E sears Jie n O ake a freer beea Minema nannan nn nee renner eo eenaa EEk Ei ad ee cece EEEE EEEEEEEEEE KEK EEEKEEEEEEEEEEEEEE A L T A E A O A O A A A O Y A O O EA OA A E a nn amp E Figure 2 5x5 degree cell partitioning of the grid points The upper number in each cell represents the cell number and the lower number the number of grid points in this cell A look up contaming GPI cell number longitude and latitude can be found in this file TUW_WARP5_gri
16. asting amp Very Short Range Forecasting Numerical Weather Prediction SAF on Numerical Weather Prediction SAF on Ozone and Atmospheric Chemistry M onitoring Hungarian Meteorological Service Operations Readiness Review SAF on Ocean and Sea Ice Picture element Portable Network Graphics Product User Manual Product Validation Report H SAF Products Valiadation Report Royal Meteorological Institute of Belgium alternative of IRM Root Mean Square Error Satellite Application Facility Sy nthetic Aperture Radar Standard Deviation Slovak Hydro M eteorological Institute Suomen ymp rist keskus Finnish Environment Institute Teknillinen korkeakoulu Helsinki University of Technology Turkish State Meteorological Service Technische Universitat Wien in Austria University of Ferrara in Italy Uniform Resource Locator Universal Coordinated Time Visible WAter Retrieval Package for hydrologic applications Zentralanstalt fiir M eteorologie und Geodynamik of Austria
17. cnnnonnnoncnnnnnncnnnnnonnnonnoncnoncnononos 15 Table 18 Attribute table for variable advf_snow_prob oooccocccocccccnnocnncncncnnncnoncnnnnnnnnonononnnnnnoncnoncnonnnos 15 Table 19 Attribute table for variable advf_wetland 20 0 0 ccc ee cc cece eccecececcecececcncececcececucececctceeeueuces 15 Table 20 Attribute table for variable adv _tOpO cooccocccocncncnonnnocnnncnoncnoncnoncnoncnonnnncnonnnnnnnnnnoncnonnnonnnos 16 Table 21 Attribute table Tor variable dOy cvevsiosiicionol bl israel diia 16 List of Figures Figure 1 Screenshot of the DGG point locator ocoooccocccocncocnoncnonnnncnoncnonnnonnnncnoncnonnnoncnonnonnnonnnnncnoninnss 9 Figure 2 5x5 degree cell partitioning of the grid points The upper number in each cell represents the cell number and the lower number the number of grid points in this cell 10 Figure 3 An example of a NetCDF file using the software ncBrowse The left image shows ncBrowse after opening the NetCDF file and the right image shows all dimensions top attributes middle and variables bottom in a table VIEW oococcnccccncnncnncncnncnncncnncnncncnnconcncnncnncnnonos 16 Figure 4 Time series plot of all available variables ata grid point in Slovenia plotted with the pytesmo OUA A ae ee ocean rae eres ce nee acest ae eee ee E 17 Figure 5 Conceptual scheme of the EUMETSAT Application Ground Se gment cee cceee cece eeees 20 Figure 6 Current com
18. ctivity both the evolution and the latest results These documents are structured as this PUM 1 e one document for each product They can be retrieved from the CNMCA site on HSAF web page at User Documents session On the same site to obtain user and password please contact the Help Desk it is interesting to consult although not closely connected to this PUM the full reporting on hydrological validation experiments impact studies e HVR Hydrological Validation Report spread in 10 Parts first one on requirements tools and models then 8 each one for one participating country and a last Part with overall statements on the impact of H SAF products in Hydrology 1 2 Relevant staff associated to the User Service and the product Table I records the names of the persons associated to the development and operation of the User service and of product SM OBS 4 Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product User Manual PUM 25 Product H25 SM OBS 4 Date 20 10 2014 Page 6 22 Table 1 Relevant persons associated to the User service and to product SM OBS 4 Product Development Team Wolfgang Wagner Leader wolfgang wagner geo tuwien ac at Austria Stefan Hasenauer stefan hasenauer geo tuwien ac at stefan hasenauer geo tuwien ac at geo tuwien ac at Sebastian Hahn Technische Universitat Wien TU Wien sebastian hahnO geo tuwien aciat sebastian hahnO geo tuwien aciat tuwien ac at
19. d_info_ lt version gt nc The file naming is TUW_METOP_ASCAT_ lt version gt lt release gt _ lt cell gt nc A NetCDF file for cell number 234 of product version WARP3 5 R1 2 looks like this TUW_METOP_ASCAT_WARP55R12_0234 nc Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product User Manual PUM 25 Product H25 SM OBS 4 Date 20 10 2014 Page 11 22 2 4 2 NetCDF file structure 2 4 2 1 Contiguous ragged array representation of time series The time series are stored in the contiguous ragged array representation defined by the NetCDF Climate and Forecast CF Metadata Conventions version 1 6 RD 3 The time series parameters like soil moisture soil moisture noise are associated with the coordinate values time obs lat i and lon i where i indicates which time series The time series i comprises the following data elements rowStart 1 to rowStart 1 row_size 1 1 where rowStart i 0 if 1 0 rTowstart 1 rowStart i l row_size 1i 1 af 1 gt 0 The variable row_size is the count variable containing the length of each time series feature It is identified by having an attribute with name sample_dimension whose value is name of the sample dimension obs in this case The auxiliary coordinate variables lat and lon are GPI variables 2 4 2 2 Global NetCDF attributes In general the global attributes will be static and do not vary between files for the same file version containing the same product ve
20. data from radar and ramgauge networks e assimilation of satellite derived products in hydrological models e assessment of the impact of the new satellite derived products on hydrological applications Annex 2 Acronyms ASAR Advanced Synthetic Aperture Radar on Envisat ASAR GM ASAR Global M ode ASCAT Advanced Scatterometer on MetOp ATDD Algorithms Theoretical Definition Document AU Anadolu University in Turkey BfG Bundesanstalt fiir Gew sserkunde in Germany BUFR Binary Universal Form for the Representation of meteorological data CAF Central Application Facility of EUMETSAT CC Correlation Coefficient CDA Command and Data Acquisition station CESBIO Centre d Etudes Spatiales de la BIOsphere of CNRS in France CM SAF SAF on Climate M onitoring CNMCA Centro Nazionale di Meteorologia e Climatologia Aeronautica in Italy CNR Consiglio Nazionale delle Ricerche of Italy CNRS Centre Nationale de la Recherche Scientifique of France CORINE COoRdination of INformation on the Environment DPC Dipartimento Protezione Civile of Italy DWD Deutscher Wetterdienst EARS EUMETSAT Advanced Retransmission Service ECM WF European Centre for Medium range Weather Forecasts Envisat Environmental Satellite ESA European Space Agency EUM Short for EUMETSAT EUMET Cast EUMETSAT s Broadcast System for Environmental Data EUMETSAT European Organisation for the Exploitation of Meteorological Satellites FMI Finnish Meteorologica
21. eral parameters geophysical parameters flags geo location information etc which are described in the following Table 3 Row size The number of observations per GP is indicated by the row size or in other words the length of the time series per GP A detailed description on how this is important for reading the time series data Is given in section 2 4 2 1 Time The time parameter represents the time stamp for the measurements It is defined as the days since 1900 01 01 00 00 00 UTC Soil moisture Soil moisture represents the water content in the first 0 5 cm of the soil in relative units between totally dry conditions and total water capacity The unit is degree of saturation and has been rounded to full integer values e g original value of 2 3 or 6 7 is rounded to 2 or7 final value A conversion from degree of saturation to absolute units m m is possible by using porosity values see equation below Soil moisture noise An estimate of the uncertainty of soil moisture is given in the parameter soll moisture noise The unit is degree of saturation and has been rounded to full integer values e g original value of 2 3 or6 7 is rounded to 2 or 7 final value Porosity LDAS The porosity is a measure of the void spaces in the soil and defined as the fraction of the volume of voids over the total volume The parameter is given in m m and can be used to transform the relative soil moisture into absolu
22. is available via FIP Login details are available after contacting the user help desk at http hsaf mete oam it 4 2 Conditions for use All H SAF products are owned by EUMETSAT and the EUMETSAT SAF Data Policy applies They are available for all users free of charge Users should recognise the respective roles of EUMETSAT the H SAF Leading Entity and the H SAF Consortium when publishing results that are based on H SAF products EUMETSAT s ownership and intellectual property rights into the SAF data and products is best safeguarded by simply displaying the words EUMETSAT under each of the SAF data and products shown in a publication or website 5 Reference documents RD 1 WARPS grid document version 0 3 4 October 2013 Vienna University of Technology Austria RD 2 Algorithm Theoretical Baselme Document ATBD for product H25 SM OBS 4 METOP ASCAT Soil Moisture Time Series version 0 3 16 October 2013 RD 3 NetCDF Climate and Forecast CF Metadata Conventions Version 1 6 5 December 2011 Brian Eaton Jonathan Gregory Bob Drach Karl Taylor and Steve Hankin 6 References FAO ITASA ISRIC ISSCAS JRC 2012 Harmonized World Soil Database version 1 2 Figa Salda a J Wilson J J W Attema E Gelsthorpe R Drinkwater M R amp Stoffelen A 2002 The advanced scatterometer ASCAT on the meteorological operational MetOp platform A follow on for European wind scatterometers Canadian Journal of Remote Sensing
23. l Institute FTP File Transfer Protocol GEO Geostationary Earth Orbit GMES Global M onitoring for Environment and Security GRAS SAF SAF on GRAS Meteorology H SAF SAF on Support to Operational Hydrology and Water M anagement IFOV Instantaneous Field Of View IM WM Institute of Meteorology and Water Management in Poland IR Infra Red IRM Institut Royal M t orologique of Belgium alternative of RMI ISAC Istituto di Scienze dell Atmosfera e del Clima of CNR Italy ITU Istanbul Technical University in Turkey LATMOS Laboratoire Atmospheres Milieux Observations Spatiales of CNRS in France LEO LSA SAF LST ME M t o France MetOp METU MTF MW NMA NOAA NWC NWC SAF NWP NWP SAF O3M SAF OM SZ ORR OSI SAF Pixel PNG PUM PVR REP 3 RMI RM SE SAF SAR SD SHM SYKE TKK TSMS TU Wien UniFe URL UTC VIS WARP H ZAMG Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Date 20 10 2014 Page 22 22 Product User Manual PUM 25 Product H25 SM OBS 4 Low Earth Orbit SAF on Land Surface Analy sis Local Solar Time of a sunsynchronous orbit Mean Error National Meteorological Service of France Meteorological Operational satellite Middle East Technical University in Turkey Modulation Transfer Function Micro Wave National Meteorological Administration of Romania National Oceanic and Atmospheric Administration Agency and satellite Nowcasting SAF in support to Nowc
24. nd links to the source code please consult the pytesmo website at http rs geo tuwien ac at validation_tool pytesmo After Downloading the NetCDF files as well as the grid information NetCDF file to your computer the data can be read with pytesmo and plotted with the matplotlib library using the following example program The output time series plot is shown in Figure 4 Import macploclib pyoloe as ple import pytesmo io sat ascat as ascat import os ascal tolder Os patria yom parao Eo downloaded path to which you downloaded the NetCDF files NetCDF files Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 17 22 Product User Manual PUM 25 dagoa grid Tolder os Po Ma on paris Eos Quid Ne LL De ride perno the grid file TUW warpo grid info version nc ascal SSM reader ascat AscatHzZ5 SSM ascat_folder ascat grid Tolder gpl 2229253 result ascat_SSM_reader read_ssm gpi talternative way using lon lat tlon 14 284 flat 45 698 result ascat_SSM _reader read_ssm lon lat testi plo pS O 100 _ASCAT time series qpi 2329253 lat 45 698 lon 14 284 sm_noise gst frozen prob Snow i dl sapo o Figure 4 Time series plot of all available variables at a grid point in Slovenia plotted with the pytesmo software 2 5 Data Citation The data set should be cited using the complete references as follows
25. obs length 5526293 index dayofyear length 366 index location_id location_description time Dimensions 3 Variables 19 dos Attributes Name cdm_data_type contact us_hsaf meteoam it conventions CF 1 5 created_with_sofiware Python 2 7 3 and NetCDF 4 1 1 creator_email radar Qipftuwien ac at creator_name Vienna University of Technology TU Wien Department of Geodesy and G hitp rs geo tuwien ac at 2014 04 16 18 45 10 CET 0100 Time Series date cre ated Variables Dimensions locations locations locations location s Name Description row_size number of observations atthis location lon location longitude degrees_east lat location latitude degrees_north alt vertical distance above the surface m location_id i locations location_description locations time time of measurement days since 1900 01 01 0 obs doy Day of years days lIdayofyear Figure 3 An example of a NetCDF file using the software ncBrowse The left image shows ncBrowse after opening the NetCDF file and the right image shows all dimensions top attributes middle and variables bottom in a table view The netCDF files can also be easily read using the open source python package pytesmo Toolbox for the Evaluation of Soil Moisture Observations For more information installation instructions documentation examples a
26. position of the EUMETSAT SAF Network in order of establishment 20 Doc No SAF HSAF CDOP2 PUM 25 1 1 Product User Manual PUM 25 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 5 22 1 Introduction 1 1 Purpose of the document Product User Manuals are available for each pre operational H SAF product for open users and also for demonstrational products as necessary for beta users Each PUM contains e Product introduction principle of sensing Satellites utilized Instrument s description Highlights of the algorithm Architecture of the products generation chain Product coverage and appearance e Main product operational characteristics Horizontal resolution and sampling Observing cycle and time sampling Timeliness e Overview of the product validation activity Validation strategy Global statistics Product characterisation e Basic information on product availability Access modes Description of the code Description of the file structure An annex also provides common information on Objectives and products Evolution of H SAF products User service and Guide to the Products User Manual Although reasonably self standing the PUM s rely on other documents for further details Specifically e ATDD Algorithms Theoretical Definition Document for extensive details on the algorithms only highlighted here e PVR Product Validation Report for full recount of the validation a
27. rsion with the exception of those attributes whose content is noted by a variable denoted as lt variable gt The Global NetCDF attributes are described in Table 4 Vienna Unwersity of Technology TU Wien Department of Geodesy and Geoinformation GEO Research Group Remote Sensing CO E Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 12 22 Product User Manual PUM 25 NASA Global Change Master Directory GCMD Science Keywords product version lt version gt lt release gt project H SAF project url http hsaf meteoam it references 1 W Wagner G Lemoine and H Rott A method for estimating soil moisture from ERS scatterometer and soil data Remote Sensing of Environment vol 70 no 2 pp 191 207 1999 doi 10 1016 50034 4257 99 00036 X 2 V Naeimi K Scipal Z Bartalis S Hasenauer and W Wagner An Improved Soil Moisture Retrieval Algorithm for ERS and MET OP Scatterometer Observations IEEE Trans Geosci Remote Sensing vol 47 no 7 pp 1999 2013 2009 doi 10 1109 TGRS 2008 2011617 3 V Naeimi C Paulik A Bartsch W Wagner R Kidd S E Park K Elger and J Boike ASCAT Surface State Flag SSF Extracting Information on Surface Freeze T haw Conditions From Backscatter Data Using an Empirical Threshold Analysis Algorithm IEEE Transactions on Geoscience and Remote Sensing 2012 vol 50 no 7 pp 2566 2582 doi 10 1109 TGRS 2011 2177667
28. ry conditions and total water capacity The unit is degree of saturation but can be converted into volumetric units mm with the help of soil porosity information More information on the retrieval algorithm can be found in the Algorithmic Theoretical Baseline Document ATBD RD 2 and in Wagner et al 1999 and Naeimi et al 2009 2 1 Product change log and known issues The following Table 2 lists the product changes with the most recent version on top Product Processing type Temporal i i coverage Algorithm changes Known issues Resolved issues WARP5 5R2 2 Extension 2007 01 01 Duplicated entries 2014 07 2014 06 30 for 2012 10 22 issue already exists since WARP 5 5 R0 1 NORE aatan onai 2014 01 2013 12 31 NOES mao aaron 2013 09 2013 07 12 WARP5 5R1 1 Reprocessing 2007 01 01 Inter beamcalibration data applied WARP5 5 a 1 2007 01 01 la 2012 11 30 WARP5 4R2 2 2007 01 01 _ ___ Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 7 22 Product User Manual PUM 25 WARP5 4R2 1 Reprocessing The criterion for a 2012 02 2011 12 31 successful fit to the logistic function during freeze thaw computation turned out to be too strict resulting in many invalid SSFs particularly in the northern regions The criterion has been relaxed Table 2 Product change log and known Issues 2 2 Product parameters The product is composed of sev
29. te units m m It is given with a precision of two decimal places This parameter was resampled from the soil porosity used in the Land Data Assimilation System LDAS dataset Reynolds 2000 by NASA Porosity HW SD See porosity description above This parameter was derived using soil information from the Harmonized World Soll Database HW SD FAO IIASA ISRIC ISSCAS RC 2012 by applying the formulas of Saxton and Rawls 2006 Orbit direction The orbit direction indicates the movement of the spacecraft through the plane of reference The ascending direction represents amovement north through the plane of reference and the descending south through the plane of reference Processing flag The processing flags comprise information about internal quality checks and specific processing details Doc No SAF HSAF CDOP2 PUM 25 1 1 Issue Revision 1 1 Product H25 SM OBS 4 Date 20 10 2014 Page 8 22 Product User Manual PUM 25 Surface state flag The Surface State Flag SSF indicates the surface conditions unknown unfrozen frozen temporary melting water on the surface or permanent ice Advisory flag frozen This frozen probability flag is built on a historic analysis of modelled climate data probability ERA 40 Uppala et al 2005 and gives the probability for the frozen soil canopy conditions for each day of the year Advisory flag snow This snow probability flag is built on a historic analysis of SSM l snow cover data
30. uct Paramete S rasa a is 8 Teale 4 Global INC te Te AUDIO Sacco 12 Table 5 Attribute table for variable location 1d cece cece cece ececcccecececcecececcucececcececcuceeecucececcuceneueeces 12 Table 6 Attribute table for variable lon oooococncncncncncononcncononononcncononononononnonononcnconononcncnnonononononos 12 Table 7 attribute table Tor varia O10 NAL serepin ladera copas ista 13 Table 8 Attribute table for variable rOW_SIZ8 cece cece ececcccececcecececcecececcucececcucececececceceeeccucecenctceeeueeces 13 Table 9 Attribute table for variable time ocococcccncncncncnnonononcncononencncnnonononononnonononononcnnonononcononenoninnono 13 Table 10 Atiribute table Tor variable sra 13 Table 11 Attribute table for variable SMm_ nose ccc ccc ec ec ec ec cecececcecececcucececcucececececcucececececencuceneueeces 13 Table 12 Attribute table for variable orbit ddr 2 0 0 cece cece ececcecececcncececcucececcececcuceceacucecenctceeeaences 14 Table 13 Attribute table for variable proc_flag oocoooccoccnonnocnnocnnncnoncnoncnoncnoncnonnonnnoncnnnnoncnoncnoncnonnnos 14 Table 14 Attribute table for variable por_ gldas oooccocncocnoccnocnnncnoncnoncnoncnoncnnnnnncnnnnnnnnoncnoncnoncnonnnos 14 Table 15 Attribute table Tor variable por WS essa iria 14 Table 16 Attribute table for variable SE airada ic iii 15 Table 17 Attribute table for variable advf_frozen_prob coocccoccconnconnncn
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