Product User Manual - H-SAF
Contents
1. Attribute table for variable wetland cccccccsecccccccceeceeeceeeeeseesssssseeeeecceeeeeeeeeeesaaaaaaseseeeeees 14 Table 19 Attribute table tor variable OPO isrsssesvsasennnrnesosnssvonvnesewannnasmmndrnnarneiouusnonevvedewannansmamsrumaruuseausooneuied 14 Table 20 Attribute table tor Varia Die LOs iii bebe 14 Table 21 Prod uctehange tan 16 List of Figures Figure 1 Screenshot of the DGG point lOCaAtOT sssrinin aE 8 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 9 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 ooccccconnccnnnnnocnnnonoconononoconnnonaconnnnnoccnnnnnoss 14 Figure 4 Time series plot of all available variables at a grid point in Slovenia plotted with the pytesmo SAA O TI ee ee ee ee eee 15 Figure 6 Current composition of the EUMETSAT SAF Network in order of establishment 19 Figure 5 Conceptual scheme of the EUMETSAT Application Ground SegMent occcnnnccnccnnnnnnnnnnnnnnnannns 19 Doc No SAF HSAF CDOP2 PUM 25 0 7 Product User Manual PUM 25 o Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 5 21 1 Introduc2. 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 OMSZ ORR OSI SAF Pixel PNG PUM PVR REP 3 RMI RMSE SAF SAR SD SHMU SYKE TKK TSMS TU Wien UniFe URL UTC VIS WARP H ZAMG Doc No SAF HSAF CDOP2 PUM 25 0 7 Issue Revision Index 0 9 Date 13 02 2014 Page 21 21 Product User Manual PUM 25 Product H25 SM OBS 4 Low Earth Orbit SAF on Land Surface Analysis 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 Nowcasting amp Very Short Range Forecasting Numerical Weather Prediction SAF on Numerical Weather Prediction SAF on Ozone and Atmospheric Chemistry Monitoring 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
3. aa sts tit went ee a nimi Ca Sr a Es LE El OCELI a m ei a CECCCCECEEE anl al a 535 Eep te a a ei orket 2 pee a RLS UY 27 2 mm 52361 80 209208 2905 15 2577 4425044 a A E ch A ia Hl Mas o E EL BRL ML B anne 4 re tm Lal sr iv Rate B maa g 2 NIM mm Tt DO p Me i i ie A o Me TN maa sal ad JE pp o The ith E E 17 A ITA L USS E 1904 1564 29 AT RA shoal PE REES ae 2096 237 laea ziea 1540 1596 j a BEK is MS MC DEC AE a E a 8 a Co Ee SE ECO RGRREE CREE REE ER II AL Ser rr rr a GS 0 er er BM 007 DB ab 301 207 206 2088 BLS 110 I Es ri st TEETE Ts 2141 ha 20720202009 2006 2408 e700 2509 257 E a H a a b E b 4 a M J a D E E F E l k a P F AN Le ot M 1j m m al ha l bax a Er MO 7 bi m m a pe a i i h Mm uu a p 4 E ii E mana a atul 523 598 54 00 006 OD do o o a u DUELA iah Hit HE 2000 DARD bad 1328 1500 E d a E m ju 5 E E E 4 A 4 4 nm y 5 Mia a E me E a n a BE a t pa nal E a Fe ke ul sm sr 0 A 138 aoa ed de de ew ed de bb ob a A a a a a as aa ren atana a a on a io oea as a IN O 8 OB KE f i m me ac aa iar ii O A O re pe ree see fe he A ed sl A O O O O a o A O A O A A A O O a O 1 kE Hee pups 205 1001 per 2068 2089 1588 1571 H ia 8 A A t A A A A j n n r E por S mi a W DWH N 1354 2900 MOE 748 2484 1534 1570 y H a 8 a 8 8 eo he i E al L E P P Gi P P E E E E E E E E m E il E a a oo mr vat wet naj ad of el Me ne una
4. case The auxiliary coordinate variables lat and lon are GPI variables 2 3 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 version 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 3 Doc No SAF HSAF CDOP2 PUM 25 0 7 SAF Issue Revision Index 0 9 Hroar ara wot Product H25 SM OBS 4 Date 13 02 2014 Page 11 21 ce nant 2 H Product User Manual PUM 25 Table 3 Global NetCDF Attributes 2 3 2 3 NetCDF variables and attributes The rest of the file attributes 1s described in the following tables Table 4 Attribute table for variable gpi Table 5 Attribute table for variable lon Table 6 attribute table for variable lat sample dimension obs long_name Number of observations for this grid point Table 7 Attribute table for variable row_size standard name Time long_name Time of measurement coordinates time lat lon Table 8 Attribute table for variable jd long_name Soil Moisture units coordinates time lat lon Doc No SAF HSAF CDOP2 PUM 25 0 7 nen Product User Manual PUM 25 state Accion e HSA Issue Revision Index 0 9 nbc oa Product H25 SM OBS 4 Date 13 02 2014 Page 12 21 Table 9 Attribute table for variable sm Table 10 Attribute table for va
5. cece 5 2 E 1010 LU 0 a E A A ctecatiessabasasatanstenstanetetenenaieeanaas 6 2 1 Proda DARA T IO e eii O Ia 6 22 Product resolution and orid ao 7 2 3 Structure and format Of the product oooooonnnnnccncnnnnnnnnnnnnnnnononononnnnnnnnnnnnnnnnnnnnnnononnnnnnannnrnnnnnnnnnss 8 2 3 1 Data file format and file Naming ccccnnnnnnnnnnnnnnnonnnnnononnnnnnnnnnnnnnnnnnnnnnononnnnnnnnnnnnnnnnnnnnnnnnnnnnns 8 22 NE CIDE Tle STUOLUES RRRS 10 23 Example INGLE ALS taurina 14 2 4 ERAN Ao e io O EEEE EERE ES 15 2 5 Dario MAA A 16 3 PROGUCE VAHCAUION rra AAA AAA AAA ARANA 17 A A e e OR OP POCO PI 17 4 1 PP A 17 4 2 Conditions TO US aaa 17 A EE EEEE EEEE 17 O FRETCRENCES sumando SSSR OS SSSR SEEE 17 Anex Le Dro monto E A E e caled asia outeleuteewinbecialieclaesadieued adesoutelesatenebectilicdatesatedelass 19 Annex 2 NN 20 Doc No SAF HSAF CDOP2 PUM 25 0 7 Product User Manual PUM 25 o Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 4 21 List of Tables Table 1 Relevant persons associated to the User service and to product SM OBS 4A ooooonccccncnononononnnnnnss 5 Table 2 Overview Of product parameter isso 7 Table gt Gruobal Net DE ATIDI a inns enn au sina ns natn ns anne IS NNN 1 Table 4 Attribute table for variable gpl cccccccconnnnonooononnonccnnnonnnnnnnnnononononnnnnnnnnnnnnnnnnnnnnnnnnnnnnnonnnnnnnnnnos 11 Table 5 Attribute table for variable lON occooonnonononononcncnnn
6. 23 45026 m 2293029 44 80 13 59 45510 m 2311225 45 25 14 49 45519 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 13 88 48926 m Aly As A Ds pa search pomts near positon export points by country XML pe BRE es 23025035 ON 13936157227 pr r R csv EM xml Q search Figure 1 Screenshot of the DGG point locator 2 3 Structure and format of the product 2 3 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 5 x 5 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 0 7 RETTA Product User Manual PUM 25 sarono Aoshi Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 9 21 EEN a a a a a OY Rp NA AAA A AU ANA e o e E A dl a ha ps AAA oer thereto boa ari Hi a EA ee ee EEE AAA EE ee ee E E A o DA E MA 20 EE O E 5 TL HE 14 05 Bl M1 12 E al 7 a 5H 5 EL ar il A Ta MI ae a bey SPL 007 106 HITA ALIS LESA LUN LMA 1058 1288 128 E EI ISAT 15H 1628 1058 1681 IPI 1063 1099 1805 ASTL 1507 1545 1570 005 2051 206
7. 7 2113 2154 35 IL ER 14 AATE MLD DoD 2483 2509 1953 1541 M E amp amp amp f A E E dd 2 E A dd E E E KE 4 a 4 2 amp E 4 8 Eh A XX A E E 5 4 E LNs 1002 1058 1254 1390 ON ABE LADA 1300 1546 15E 1508 TABU MSG 27017 LF A MPD 1908 ISAE 17 AA 2060 2006 ZL ZISA ZU EA qns fawra aao aaee 2482 PSU ISSA 1590 j ge e PE EJ RM BS E PEL Se MBE E EL IN IC ee ee E A HE ML E IE Ma au un 7 aa n PEER ER CEEEEEEE ra a us zata 27008250 lr le es lo uy er es S a4 dela da alas DGA 2000 DAM DETE LSD 1544 1500 166 206 meo Lenz uies 2 et ak im aj aj le AL ee a ee i erp pp y la SS ha ast 1a 1544 i ara Sand eat ne ieee PS di E EEEE ee errreecccccceee ceca PECEEECCEECCrEcECCccErccaE a E CECCCEE CEC CECCrErecrecccccce oca Vif sata fm odie cl mm wom wm EPERERE E os 09 B5 1001 OKT 2 no LAS 2 a amt ms dd a a e H a keerereEr 3 T Hi Tepr pey OFA DIH ae ON aam z EEEEEEEEEE ta af nik Pi MA 7 w I y EL TET A 173 Pi TN m eee aa e co cecccooo o OBUEr caca op vt VIP Wah aro mr L LiDE 158 TEE LODE iint ID FI DP tat em tee tie Jee 119 BA gt ebbbeieeiekeket F EE EEF Eee Eeee ee eee E i Er a es E e ct ceri gt ales ef is La os La a acm y EEE aoea CARECE miat OS ee st amp Y a i E E E amp H amp pm s A a del w F PECE EEE perece EEEN mj y SE MM DO ee er A AA sl a a eee ane cece i EEE apne oppose n
8. Doc No SAF HSAF CDOP2 PUM 25 0 7 Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 1 21 Product User Manual PUM 25 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 0 7 Issue Revision Index 0 9 Product User Manual PUM 25 Product H25 SM OBS 4 Date 13 02 2014 Page 2 21 DOCUMENT CHANGE RECORD Issue Revision Description O Document created O Major revision of the document 0 3 Updated section 3 0 4 Revision of the complete document 2013 10 16 Updated product introduction and characteristics 0 7 2013 10 21 Version prepared for delivery of product in Project Management Team demonstrational status 2014 02 07 Minor updates in section product availability 2014 02 13 Minor changes in headlines page breaks links 2013 10 07 Revised document format S Hahn S Hasenauer Doc No SAF HSAF CDOP2 PUM 25 0 7 Product User Manual PUM 25 o Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 3 21 INDEX NN 0 peepee eee 5 1 1 go COG NAC CN AAA IIA A 5 1 2 Relevant staff associated to the User Service and to product SM OBS 4
9. Valiadation Report Royal Meteorological Institute of Belgium alternative of IRM Root Mean Square Error Satellite Application Facility Synthetic Aperture Radar Standard Deviation Slovak Hydro Meteorological Institute Suomen ymp rist keskus Finnish Environment Institute Teknillinen korkeakoulu Helsinki University of Technology Turkish State Meteorological Service Technische Universit t Wien in Austria University of Ferrara in Italy Uniform Resource Locator Universal Coordinated Time Visible WAter Retrieval Package for hydrologic applications Zentralanstalt fiir Meteorologie und Geodynamik of Austria
10. ans 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 Naeimi 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 2566 2582 doi 10 1109 TGRS 2011 2177667 Doc No SAF HSAF CDOP2 PUM 25 0 7 Product User Manual PUM 25 o Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 17 21 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 product is available via FTP Login details are available after contacting the user help desk at http hsaf meteoam 1t 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 En
11. 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 0 7 Product User Manual PUM 25 o Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 18 21 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 Fiorino 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 The ERA 40 re analysis Quarterly Journal of the Royal Meteorological Society 131 2961 3012 Wagner W Lemoine 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 0 7 Product User Manual PUM 25 a I
12. ct H25 SM OBS 4 Date 13 02 2014 Page 16 21 WARP5 5 R1 1 Reprocessing 2007 01 01 to 2013 02 28 Inter beam calibration of Level 1 backscatter Processed Mar 2013 data applied Product User Manual PUM 25 WARP5 5 RO 1 Reprocessing 2007 01 01 to 2012 11 30 Processed Dec 2012 Jan 2013 WARP5 4 R2 2 Extension of time series 2011 12 31 to 2012 05 31 Processed Jun 2012 WARP5 4 R2 1 Reprocessing 2007 01 01 to 2011 12 31 dl Processed Feb 2012 The criterion for a 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 WARP5 4 R1 4 oa of time series 2007 01 01 to 2011 A an 2012 WARP5 4 R1 3 Extension of time series 2011 06 11 to 2011 08 17 Processed Nov 2011 Extension of time series 2010 12 31 to 2011 06 11 Processed Nov 2011 WARP5 4 RO 1 Reprocessing 2007 01 01 to 2010 12 31 Processed May Jun 2011 Table 21 son INN log 2 5 Data Citation The data set should be cited using the complete references as follows 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 2 V Naeimi K Scipal Z Bartalis S Hasenauer and W Wagner An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations IEEE Tr
13. e 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 containing GPI cell number longitude and latitude can be found in this file TUW_WARP5_grid_info_ lt version gt nc The file naming 1s TUW_METOP_ASCAT lt version gt lt release gt _ lt cell gt ne A NetCDF file for cell number 234 of product version WARPS3 5 R1 2 looks like this TUW_METOP_ASCAT_WARP55R12_0234 nc Doc No SAF HSAF CDOP2 PUM 25 0 7 Issue Revision Index 0 9 Product User Manual PUM 25 Product H25 SM OBS 4 Date 13 02 2014 Page 10 21 2 3 2 NetCDF file structure 2 3 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 1 0 1f 1 0 rowStart 1 rowStart 1 1 row_size 1 1 1f 1 gt O The variable row_size is the count variable containing the length of each time series feature It 1s identified by having an attribute with name sample_dimension whose value is name of the sample dimension obs in this
14. e 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 matplotlib pypelot as plt import pytesmo io sat ascat as ascat import os ascat_folder os path join path to downloaded NetCDF files path to which you downloaded the NetCDF files ascat_grid_folder os path join path to grid NetCDF file path to the grid file TUW_warp5_grid_info_ lt version gt nc ascat_SSM_reader ascat AscatH25_SSM ascat_folder ascat_grid_folder gpi 2329253 result ascat_SSM_reader read_ssm gpi alternative way using lon lat lon 14 284 lat 45 698 result ascat_SSM_reader read_ssm lon lat result plot plt show 100 _ OOO ASCAT time Series gpi 2329253 lat 45 698 lon 14 284 0 om sm_noise gst frozen prob snow prob tt ap A A 0 LA o p t El e 1 gt pp J i 0 a Figure 4 Time series plot of all available variables at a grid point in Slovenia plotted with the pytesmo software 2 4 Product change log The following Table 21 lists the product changes with the most recent version on top Product e WARP5 5 R1 2 Extension of time series 2013 03 01 to 2013 07 12 Processed Sep 2013 Doc No SAF HSAF CDOP2 PUM 25 0 7 Issue Revision Index 0 9 Produ
15. e 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 Salda a 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 5 cm of the soil in relative units between totally dry conditions and total water capacity The unit is degree of saturation but can be converted into volumetric units m m 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 parameters The product is composed of several parameters g
16. eophysical parameters flags geo location information etc which are described in the following Table 2 The grid point index GPI is a unique identifier for each single grid point Row size The number of observations per GPI is indicated by the row size or in other words the length of the time series per GPI A detailed description on how this is important for reading the time series data is given in section 2 3 2 1 Time The time parameter represents the time stamp for the measurements It is defined as the days since 1970 01 01 00 00 00 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 A conversion from degree of saturation to absolute units m m is possible by using the porosity values see equation below Soil moisture noise An estimate of the uncertainty of soil moisture is given in the parameter soil moisture noise The unit is degree of saturation 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 absolute units 3 3 m m Doc No SAF HSAF CDOP2 PUM 25 0 7 Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 7 21 This parameter was resamp
17. etOp ATDD Algorithms Theoretical Definition Document AU Anadolu University in Turkey BfG Bundesanstalt f r 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 Monitoring 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 ECMWF European Centre for Medium range Weather Forecasts Envisat Environmental Satellite ESA European Space Agency EUM Short for EUMETSAT EUMETCast EUMETSAT s Broadcast System for Environmental Data EUMETSAT European Organisation for the Exploitation of Meteorological Satellites FMI Finnish Meteorological Institute FTP File Transfer Protocol GEO Geostationary Earth Orbit GMES Global Monitoring for Environment and Security GRAS SAF SAF on GRAS Meteorology H SAF SAF on Support to Operational Hydrology and Water Management IFOV Instantaneous Field Of View IMWM Institute of Meteorology and Water Management in Poland IR Infra Red IRM Institut
18. in a 190 THA TW rs Fo ZION TULLE ee oe la a jo Tow ae a i Sn i tia ia ino Aan Ma ba MA ari a ll i MUA 1A 10 A i j r Pl IC A A L 4 ol o E E wf a og a w CAEN ee IC E DA es IC a a va Fev E 1 00 307 ae A ry ant al kta a sa mar ezn oon aw maa nN EN SAF MEN 0 DEAA BE EL 1 10 154 La el ol i ee 8 ee oe ee BL BL EL re a aa d woe ee J EEE so om 6 em eee ee ee eet ee a j See A EEEE RSS eg ae aa cs ths ES ih Mh s ln a ed 290 20n Lara dan fan e en ff Us a en A E gt 9 ATE a Hn 1 1270 1 CNO 25 pa pea na po f A d A A s D E Ds a fla il AP S A G y oae ah oe eo Y 5 EU 18 ES AT a a SAN 548 305 621 aT eta Tas 5 El mes E i E amp ELE rt t E d x M Ad A a 1 i S E m a y po m P TEPE we PE EPEE EE peen ean geen gaem a IHE 1 04 MD Me Ba E E E E E E E E E g 2 g m E Y AD O SSL 287 20D as ae a u 2040 100 2019 2055 2084 1527 1563 O O A NT E E oa Tee ee ee ee oamp 230 DADA Dae 1506 i E A A O E A AAA oa F H iia 105 11 257 2 09 M5 a 07 EH LIM 290012417 A on 1575 1561 i a MB MS MC PL BE S ML L ES EL CI ee Mi A ar Wi Mi Pi O Sa a Ms E Voq ag fh Ha 184 200 200 ESL Bat LAO ERD MES HAR 1500 A bebbeerEneReReeeee m EEERES mmm ERTEN ma cs kies se eim ad idda clot wire lebele nels e Eideccccreesserecicetetececsss a ABE BO ALO OLA EE IIA AECE ANO a a a a a a a AAA AAA AAA AAA A A E E CE 4 EN BF A As Dd e e Ohl Figure 2 5x5 degree cell partitioning of th
19. led from the soil porosity used in the Land Data Assimilation System LDAS dataset Reynolds 2000 by NASA Porosity HWSD See porosity description above This parameter was derived using soil information from the Harmonized World Soil Database HWSD FAO IIASA ISRIC ISSCAS J RC 2012 by applying the formulas of Saxton and Rawls 2006 Product User Manual PUM 25 Orbit direction The orbit direction indicates the movement of the spacecraft through the plane of reference The ascending direction represents a movement 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 Surface state flag The Surface State Flag SSF indicates the surface conditions unknown unfrozen frozen temporary melting water on the surface or permanent ice Frozen probability This frozen probability flag is built on a historic analysis of modelled climate data ERA 40 Uppala et al 2005 and gives the probability for the frozen soil canopy conditions for each day of the year Snow probability This snow probability flag is built on a historic analysis of SSM I snow cover data and gives the probability for the occurrence of snow for any day of the year Inundation and wetland The fraction coverage of inundated and wetland areas are derived from a fraction combined analysis of the Global Lakes and Wetla
20. n in the following Figure 3 The viewer used for this example is ncBrowse available at http www epic noaa gov java ncBrowse File Edit View Window Help Select Variable for Display a Description File 0028 nc local orbit_dir sm Attributes Dimensions por_gldas ssf sm_noise Variables New Map i Attributes time of measurement we geospa al_lon resoiution produc version geospabal lat min geospa al_lal_resolubon Bra coverage start Conventions project Vaniabies Name Descipton Topographic complexty Processing flag Day of year Gays inundation anc wetiand fracbor Orb direction Figure 3 An example of a NetCDF file using the software ncBrowse The left image shows ncBrowse after opening the NetC DF file and the right image shows all dimensions top attributes middle and variables bottom in a table view Doc No SAF HSAF CDOP2 PUM 25 0 7 Product User Manual PUM 25 o Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 15 21 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 and 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 fil
21. nds 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 Topographic complexity The topographic complexity flag is derived from the GTOPO30 data The standard deviation of elevation is calculated and globally normalized between 0 and 100 Table 2 Overview of product parameters A conversion from degree of saturation to absolute units m m is possible by multiplying with porosity 0 P 100 where 8 is absolute soil moisture in m m p is porosity in m m and s is degree of saturation As it can be seen in this equation the accuracy of soil porosity is as import as the relative soil moisture content 2 2 Product resolution and grid The spatial resolution of the product is 25x25 km and based on the WARP 5 grid RD 1 The WARP 5 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 points can be viewed interactively with the internet browser tool DGG Point Locator Figure 1 at the following location http www ipf tuwien ac at radar dv dgg Doc No SAF HSAF CDOP2 PUM 25 0 7 Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Product User Manual PUM 25 Page 8 21 a Wf DGG Point Locator resp tuwienac at radar dvi dog c E eume
22. 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 Table 1 Relevant persons associated to the User service and to product SM OBS 4 Product Development Team en Wagner wolfgang wagner geo tuwien ac at e er Technische Universitat Wien TU Wien Austria stefan hasenauer geo tuwien ac at Department of Geodesy and Geoinformation Sebastian Hahn sebastian hahn geo tuwien ac at sebastian hahn geo tuwien ac at tuwien ac at Thomas Melzer thomas melzer geo tuwien ac at thomas melzer geo tuwien ac at geo tuwien ac at Doc No SAF HSAF CDOP2 PUM 25 0 7 Issue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 6 21 Product User Manual PUM 25 Christoph P aulik christoph paulik geo tuwien ac at Christoph Reimer christoph reimer geo tuwien ac at Product Operations Team Barbara Zeiner Zentralanstalt fur Meteorologi
23. onononnnnnononononononononnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnns 11 Table G attribute table TOF V AA OIC rr AAA A 1 Table 7 Attribute table for variable roW _S1ZeC ccccecoscoecoccoscocccccacceccecceccecascaccancesceccecscescascascancecees 11 Table 8 Attribute table for variable Jd ccccccccnnnnonoooonoononnnnononnnnnnnnnnnnnnnonononononnnnnnnnnnnnnnnnnnnnnnonnnnnananons 11 Table 9 Attr bute table Tor variable Mirra ici 12 Table 10 Attribute table for variable SM NOISE cccecceececcecceccecceccscescecccceccecescescescescscesceccsceecescess 12 Table 11 Attribute table for variable orbit _ ir ce ice ce cee ecceccecceccecceccsccsceccscecceccsccscescescscescescesescescens 12 Table 12 Attribute table for variable proc_flag oooooooonnnnnnnncnnnnnnnnnnnnnnnononononononncnnnnnnnnnnnnnnnnnnnonnnnnnnannns 12 Table 13 Attribute table for variable por_gldasS ooooooonnnnncccncnnnnnnnonononononononononncnnnnnnnnnnnnnnnnononnnnnnnannnos 12 Table 14 Attribute table for variable por_hwsd ooooocooooooococccccnnnnnnnnnnnnnonononononannnnnnnnnnnnnnnnnnnnnnnnnnnnanannns 13 Table 15 Attr bute table tor yarlablo Shins 13 Table 16 Attribute table Tor variable OZ i siscnecesasasesesasassausnassnasanoneaasesesevesasasasianeasnsnsnnenesesnsesesesusasasnnesed 13 Table 17 Attribute table for variable SMOW cccssssssssssseeeececcccceeeeseaaaeaeeessssseeseececceeeeeesesaaagagggsssseeeess 13 Table 18
24. riable sm_noise Table 11 Attribute table for variable orbit_dir flag_values 0 1 2 4 8 16 flag_meanings s deraut soil_moisture_set_to_0_since_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 e normalised backscatter is out_of limits or dry wet reference is NaN Table 12 Attribute table for variable proc_flag 1 missing value Table 13 Attribute table for variable por_gldas Doc No SAF HSAF CDOP2 PUM 25 0 7 The EUMETSAT Product User Manual PUM 25 ste Magico e HSA Issue Revision Index 0 9 penn cores Product H25 SM OBS 4 Date 13 02 2014 Page 13 21 Table 14 Attribute table for variable por_hwsd flag values 0 1 2 3 4 flag meanings 3 y unknown unfrozen frozen_ temporary melting_water_on_the surface permanent_ice valid range missing_value 1 Table 15 Attribute table for variable ssf Table 16 Attribute table for variable frozen Table 17 Attribute table for variable snow Inundation and wetland fraction Doc No SAF HSAF CDOP2 PUM 25 0 7 me EUMETSAT Product User Manual PUM 25 sto host e H SAF Issue Revision Index 0 9 nooo ara mota Product H25 SM OBS 4 Date 13 02 2014 MOonogomon Page 14 21 Day of year Table 20 Attribute table for variable doy 2 3 3 Example NetCDF file An example of the NetCDF product is show
25. ssue Revision Index 0 9 Product H25 SM OBS 4 Date 13 02 2014 Page 19 21 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 EY e EUM Geostationary and Control EUM NOAA Sources Systems Cooperation Data Processing EUMETSAT HQ Meteorological Products Archive amp Retrieval Extraction Facility Data Centre Satellite Application Facilities SAFs id EUMETSAT HQ EUMETSAT HQ 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 Nowcasting amp Very Ozone amp Atmospheric T Numerical Weather Operational Hydrology Short Range Forecasting Spean ang Seats Chemistry Monitoring Elm Menkonng Prediction GRAS Meteorology rang Surac g Analysis 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 e
26. stablished 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 Continuous 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 0 7 Issue Revision Index 0 9 Date 13 02 2014 Page 20 21 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 evaluating water resources the activity includes downscaling upscaling modelling from observed predicted fields to basin level fusion of satellite derived measurements with data from radar and raingauge networks assimilation of satellite derived products in hydrological models 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 Mode ASCAT Advanced Scatterometer on M
27. tion 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 activity 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
28. tity 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 WARP 5 grid document version 0 3 4 October 2013 Vienna University of Technology Austria RD 2 Algorithm Theoretical Baseline 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 28 404 412 Naeimi V Scipal K Bartalis 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
29. tsat ppt PO 4 3 la NEST_Development ia QGIS_underdark GD DGG POINT LOCATOR te 2306679 45 14 13 83 8825m 2302145 45 02 13 96 11307m gt Mi 2311213 45 25 14 01 15032m P 2311209 45 25 13 85 15296 m 2302141 45 02 13 80 15600 m iD y 2306675 45 14 13 67 21269 m pura Budan NE 2bereny 2311217 45 25 14 17 23047 m f C 23141205 45 25 13 69 23561m 2297595 44 91 13 93 23596 m nol 2302137 45 02 13 64 25901m 0 2297599 44 91 14 09 25534m 2315731 45 36 13 88 26678 m 2297591 44 91 13 77 27025m 2315735 45 36 14 04 27531m 2302153 45 02 14 27 28856 m a 2315727 145 36 13 72 31293m 2 2315739 45 36 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 05 37494m A Zrel 2302133 45 02 13 48 37553m 2320245 45 47 13 91 38875m 2293033 44 80 13 74 39226 m 2315723 45 36 13 56 39505 m 2320249 45 47 14 07 40151 m 2302157 45 02 14 43 40857 m 2306695 45 14 14 46 41299 m 2320241 45 47 13 75 41532 m 2315743 45 26 14 36 42331 m 2293045 44 80 14 22 42491 m p 2297607 44 91 14 40 43854 m 5 2297583 44 91 13 45 44743 m sak 2320253 45 47 14
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