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Anomalies of monthly mean surface air temperature: grid data

Grids of anomalies of monthly mean temperature, (deviation from the 1961-1990 normal), derived from CLIMAT bulletins on a 0.1x0.1 degree grid, provided by WMO RA VI Regional Climate Centre (RCC) on Climate Monitoring

The hindcast data for temperature at 850hPa [K] from GPC_Offenbach (DWD).

This resource contains the monthly mean temperature at 850hPa [K] for 6 months. The period of hindcast data is January, 1993 - December, 2019. The format of resource is GRIB2. It is provided through the web site of WMO Lead Centre for LRF MME (Long Range Forecast Multi-Model Ensemble). The web site requests a user account. The Grade A(GPCs) and Grade B(NMHSs, RCCs) users can download the data USAGE: Menu: Data and Plot > Data Exchange > Search/Download. This hindcast data is made by GPC_Offenbach (DWD) using an operational seasonal prediction system. For more detailed information about the seasonal forecasts of GPC_Offenbach (DWD) visit the web site http://www.dwd.de/EN/ourservices/seasonals_forecasts/start.html.

The forecast data for 500hPa geopotential height [gpm] from GPC_Offenbach (DWD).

This resource contains the monthly mean 500hPa geopotential height [gpm] for 6 months. The format of resource is GRIB2. It is provided through the web site of WMO Lead Centre for LRF MME (Long Range Forecast Multi-Model Ensemble) on about the 15th of each month. The web site requests a user account. The Grade A(GPCs) and Grade B(NMHSs, RCCs) users can download the data USAGE: Menu: Data and Plot > Data Exchange > Search/Download. This forecast data is made by GPC_Offenbach (DWD) using an operational seasonal prediction system. For more detailed information about the seasonal forecasts of GPC_Offenbach (DWD) visit the web site http://www.dwd.de/EN/ourservices/seasonals_forecasts/start.html.

The hindcast data for u component of wind at 850hPa [m/s] from GPC_Offenbach (DWD).

This resource contains the monthly mean u component of wind at 850hPa [m/s] for 6 months. The period of hindcast data is January, 1993 - December, 2019. The format of resource is GRIB2. It is provided through the web site of WMO Lead Centre for LRF MME (Long Range Forecast Multi-Model Ensemble). The web site requests a user account. The Grade A(GPCs) and Grade B(NMHSs, RCCs) users can download the data USAGE: Menu: Data and Plot > Data Exchange > Search/Download. This hindcast data is made by GPC_Offenbach (DWD) using an operational seasonal prediction system. For more detailed information about the seasonal forecasts of GPC_Offenbach (DWD) visit the web site http://www.dwd.de/EN/ourservices/seasonals_forecasts/start.html.

GTS Bulletin: CSDL06 EDZW - Climatic data (details are described in the abstract)

The CSDL06 TTAAii Data Designators decode as: T1 (C): Climatic data T1T2 (CS): Monthly means (surface) A1A2 (DL): Germany (The bulletin collects reports from stations: 10321;Diepholz;10325;Salzuflen, Bad;10348;Braunschweig;10356;Ummendorf;10359;Gardelegen;10365;Genthin;10368;Wiesenburg;10376;Baruth;10385;Berlin-Brandenburg;10396;Manschnow;10410;Essen-Bredeney;10418;Lüdenscheid;10424;Werl;10433;Lügde-Paenbruch;10435;Warburg;10441;10442;Alfeld;10444;Göttingen;10449;Leinefelde;10452;Braunlage;)

GTS Bulletin: CSDL02 EDZW - Climatic data (details are described in the abstract)

The CSDL02 TTAAii Data Designators decode as: T1 (C): Climatic data T1T2 (CS): Monthly means (surface) A1A2 (DL): Germany (The bulletin collects reports from stations: 10046;Kiel-Holtenau;10091;Arkona;10113;Norderney;10131;Cuxhaven;10170;Rostock-Warnemünde;10264;Marnitz;10291;Angermünde;10315;Münster/Osnabrück;10379;Potsdam;10381;Berlin-Dahlem (FU);10382;Berlin-Tegel;10384;Berlin-Tempelhof;10427;Kahler Asten;10430;Lippspringe, Bad;10453;Brocken;10496;Cottbus;10499;Görlitz;10505;Aachen-Orsbach;10513;Köln-Bonn;10532;Gießen/Wettenberg;10544;Wasserkuppe;10554;Erfurt-Weimar;10567;Gera-Leumnitz;10578;Fichtelberg;)

GTS Bulletin: ISCD04 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISCD04 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISC): Climatic observations from land stations A2 (D): 90°E - 0° northern hemisphere (The bulletin collects reports from stations: 10022;Leck;10028;Sankt Peter-Ording;10033;Glücksburg-Meierwik;10037;Schleswig-Jagel;10038;Hohn;10042;Schönhagen (Ostseebad);10067;Marienleuchte;10093;Putbus;10097;Greifswalder Oie;10126;Wittmundhafen;10129;Bremerhaven;10130;Elpersbüttel;10136;Nordholz (Flugplatz);10139;Bremervörde;10142;Itzehoe;10146;Quickborn;10150;Dörnick;10152;Pelzerhaken;10156;Lübeck-Blankensee;)

GTS Bulletin: CSDL07 EDZW - Climatic data (details are described in the abstract)

The CSDL07 TTAAii Data Designators decode as: T1 (C): Climatic data T1T2 (CS): Monthly means (surface) A1A2 (DL): Germany (The bulletin collects reports from stations: 10454;Wernigerode;10458;Harzgerode;10460;Artern;10466;Halle-Kröllwitz;10471;Leipzig-Holzhausen;10474;Wittenberg;10480;Oschatz;10490;Doberlug-Kirchhain;10495;Hoyerswerda;10519;Bonn-Roleber;10520;Andernach;10526;Marienberg, Bad;10534;Hoherodskopf/Vogelsberg;10537;Neu-Ulrichstein;10540;Eisenach;10542;Hersfeld, Bad;10552;Schmücke;10557;Neuhaus am Rennweg;)

GTS Bulletin: ISCD05 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISCD05 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISC): Climatic observations from land stations A2 (D): 90°E - 0° northern hemisphere (The bulletin collects reports from stations: 10161;Boltenhagen;10168;Goldberg;10172;Laage (Flugplatz);10180;Barth;10193;Ueckermünde;10210;Friesoythe-Altenoythe;10235;Soltau;10238;Bergen;10246;Faßberg;10249;Boizenburg;10253;Lüchow;10261;Seehausen;10267;Kyritz;10268;Waren;10281;Trollenhagen;10282;Feldberg/Mecklenburg;10289;Grünow;10304;Meppen;10305;Lingen;10306;Rheine-Bentlage;10309;Ahaus;10312;Belm;)

IceLines - Sentinel-1 - Antarctica

IceLines (Ice Shelf and Glacier Front Time Series) is an automated calving front monitoring service providing monthly ice shelf front time series of major Antarctic ice shelves. The provided time series allows to discover the dynamics of ice shelf front changes and calving events. The front positions are automatically derived from Sentinel-1 data based on a deep neuronal network called HED-U-Net. The time series covers the timespan 2014 to today (partly limited due to Sentinel-1 data availability). Incorrectly extracted fronts are truncated which might lead to gaps in the time series especially between December to March due to strong surface melt. Annual averages are calculated based on the extracted monthly fronts (excluding the summer months) and provide more robust results due to temporal aggregation

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