Sub datasets of SOURCES

SOURCES: datos de MGAP SNIA prueba

Features
Agricultural
Features Agricultural: Zonas de Agricultura
Facultad_Ciencias
Features Agricultural Facultad_Ciencias: Facultad de Ciencias
Z_A_C
Features Agricultural Facultad_Ciencias Z_A_C: Zonas Agroecologicas Carga Sustentable
Zonas_Agroecologicas
Features Agricultural Facultad_Ciencias Zonas_Agroecologicas: Zonas Agroecologicas
Zonas_Agroecologicas_Carga
Features Agricultural Facultad_Ciencias Zonas_Agroecologicas_Carga: Zonas Agroecologicas Carga Sustentable
Zonas_Agroecologicas_Prod_Carne
Features Agricultural Facultad_Ciencias Zonas_Agroecologicas_Prod_Carne: Zonas Agroecologicas (Produccion de Carne)
Forestal
Bosque_implantado
Features Agricultural Forestal Bosque_implantado: Bosque implantado
IPA
UFFIP_lotes
Features Agricultural IPA UFFIP_lotes: UFFIP Potreros
UFFIP_potreros
Features Agricultural IPA UFFIP_potreros: UFFIP Potreros
Campo_Natural
Features Campo_Natural: Campo natural
FAO_2012
Features Campo_Natural FAO_2012: Superficie de campo natural clasificada por FAO en 2012
MASCARA_INVERTIDA_CN
Features Campo_Natural MASCARA_INVERTIDA_CN: Mascara invertida CN FAO 2012
Hydrological
Features Hydrological: Rios, arroyos, lagos
Arroyos
Features Hydrological Arroyos: Arroyos de Uruguay
Espejos_de_agua
Features Hydrological Espejos_de_agua: Espejos de agua de Uruguay
Espejos_de_agua_MTOP
Features Hydrological Espejos_de_agua_MTOP: Espejos de agua de Uruguay (MTOP)
Espejos_PRUEBA
Features Hydrological Espejos_PRUEBA: Espejos
Espejos
Rios
Features Hydrological Rios: Rios de Uruguay
Political
Features Political: Limites de paises, departamentos, etc
Departamentos
Features Political Departamentos: Departamentos
Departamentos_MTOP
Features Political Departamentos_MTOP: Departamentos (MTOP-2013)
Padrones_Rurales
Features Political Padrones_Rurales: Canelones - Padrones rurales
Paises_limitrofes
Features Political Paises_limitrofes: Paises limitrofes
Productores_familiares
Features Political Productores_familiares: Productores familiares
Seccionales
Features Political Seccionales: Seccionales policiales
Seccionales_Judiciales
Features Political Seccionales_Judiciales: Seccionales Judiciales
Seccionales_Policiales
Features Political Seccionales_Policiales: Seccionales Policiales (2010)
SP
Features Political SP: Seccionales Policiales (2010) con DEPTOSEC numerico
Zonas Censo
Features Political Zonas Censo: Zonas Censales (DIEA)
Areas_de_Enumeracion
Features Political Zonas Censo Areas_de_Enumeracion: Areas de Enumeracion
Areas_de_Enumeracion_CCOMPAE
Features Political Zonas Censo Areas_de_Enumeracion_CCOMPAE: Areas de Enumeracion
Areas_de_Supervision
Features Political Zonas Censo Areas_de_Supervision: Areas de Supervision
Topographical
Features Topographical: Niveles de altura, Curvas de nivel, Regiones geomorfologicas
Regiones_Geomorfologicas
Features Topographical Regiones_Geomorfologicas: Regiones Geomorfologicas
INAC
Faena_Vacunos_ZA
INAC Faena_Vacunos_ZA: Faena de vacunos por Zona Agroecologica
Time: [2003,2014]; yearly
Faena_Vacunos_ZA_Estimada
INAC Faena_Vacunos_ZA_Estimada: Estimación de Faena de Vacunos por Zona Agroecologica
Time: [2003,2014]; yearly
INIA
INIA: Instituto Nacional de Investigacion Agropecuaria
GRAS
INIA GRAS: Grupo Agroclima y Sistemas de Informacion
PAD_Anomalia
INIA GRAS PAD_Anomalia: Anomalia
PAD_Decadal
INIA GRAS PAD_Decadal: PAD Decadal por SP
Time: [1-10 Jan 2008,21-30 Nov 2019]; ten days
PAD_Mensual
INIA GRAS PAD_Mensual: PAD Mensual por SP
Time: [Jan 2005,Nov 2019]; monthly
PAD_Promedio_Mensual_Historico
INIA GRAS PAD_Promedio_Mensual_Historico: Promedio Mensual Historico
INUMET
INUMET: Instituto Uruguayo de Meteorologia
datos_historicos_50_estaciones_calidad
INUMET datos_historicos_50_estaciones_calidad: Datos historicos de 50 estaciones pluviometricas con control de calidad
Resolution: 50 stations; Longitude: [59W,53W]; Latitude: [35S,30S]; Time: [1 Jan 1981,31 Dec 2009]; daily
Estaciones
CressmanUY30k
Diaria
Resolution: 147 stations; Longitude: [59W,53W]; Latitude: [35S,30S]; Time: [1 Jan 2005,31 Dec 2010]; daily
Diaria_Calculada
Resolution: 24 stations; Longitude: [59W,53W]; Latitude: [35S,30S]; Time: [1 Jan 2005,30 Dec 2010]; daily
Diaria_MetaDatos
Resolution: 147 stations; Longitude: [59W,53W]; Latitude: [35S,30S]; Time: [1 Jan 2005,31 Dec 2010]; daily
Horaria
Resolution: 24 stations; Longitude: [59W,53W]; Latitude: [35S,30S]; Time: [0000 1 Jan 2005,2300 31 Dec 2010]
Horaria_MetaDatos
Resolution: 24 stations; Longitude: [59W,53W]; Latitude: [35S,30S]; Time: [0000 1 Jan 2005,2300 31 Dec 2010]
PRECIPITACION
DIARIA
Time: [1 Jan 1981,31 Mar 2015]; daily
MENSUAL
Time: [Jan 1925,Dec 2009]; monthly
estaciones_meteorologicas
INUMET estaciones_meteorologicas: Estaciones Meteorologicas del Instituto Uruguayo de Meteorologia
Resolution: 346 stations; Longitude: [59W,53W]; Latitude: [35S,30S];
IRI
DSI_scaled
Forecast
GZ200_CFSV2-PRECIP_GPCC
IRI Forecast GZ200_CFSV2-PRECIP_GPCC: GZ200_CFSV2-PRECIP_GPCC
Forecast
IRI Forecast GZ200_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast GZ200_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
GZ200_ECHAM-PRECIP_GPCC
IRI Forecast GZ200_ECHAM-PRECIP_GPCC: GZ200_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast GZ200_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast GZ200_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
PRECIP_CFSV2-PRECIP_GPCC
IRI Forecast PRECIP_CFSV2-PRECIP_GPCC: PRECIP_CFSV2-PRECIP_GPCC
Forecast
IRI Forecast PRECIP_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast PRECIP_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
PRECIP_ECHAM-PRECIP_GPCC
IRI Forecast PRECIP_ECHAM-PRECIP_GPCC: PRECIP_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast PRECIP_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast PRECIP_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
QV850_CFSV2-PRECIP_GPCC
IRI Forecast QV850_CFSV2-PRECIP_GPCC: QV850_CFSV2-PRECIP_GPCC
Forecast
IRI Forecast QV850_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast QV850_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
QV850_ECHAM-PRECIP_GPCC
IRI Forecast QV850_ECHAM-PRECIP_GPCC: QV850_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast QV850_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast QV850_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
SST_CFSV2-PRECIP_GPCC
IRI Forecast SST_CFSV2-PRECIP_GPCC: SST_CFSV2-PRECIP_GPCC
Forecast
IRI Forecast SST_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast SST_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
SST_ECHAM-PRECIP_GPCC
IRI Forecast SST_ECHAM-PRECIP_GPCC: SST_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast SST_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast SST_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
SST_OBS-PRECIP_GPCC
IRI Forecast SST_OBS-PRECIP_GPCC: SST_OBS-PRECIP_GPCC
Forecast
IRI Forecast SST_OBS-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast SST_OBS-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
Forecast_old
GZ200_CFSV2-PRECIP_GPCC
IRI Forecast_old GZ200_CFSV2-PRECIP_GPCC: GZ200_CFSV2-PRECIP_GPCC
Forecast
IRI Forecast_old GZ200_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old GZ200_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
GZ200_ECHAM-PRECIP_GPCC
IRI Forecast_old GZ200_ECHAM-PRECIP_GPCC: GZ200_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast_old GZ200_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old GZ200_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
PRECIP_CFSV2-PRECIP_GPCC
IRI Forecast_old PRECIP_CFSV2-PRECIP_GPCC: PRECIP_CFSV2-PRECIP_GPCC
Forecast
IRI Forecast_old PRECIP_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old PRECIP_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
PRECIP_ECHAM-PRECIP_GPCC
IRI Forecast_old PRECIP_ECHAM-PRECIP_GPCC: PRECIP_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast_old PRECIP_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old PRECIP_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
QV850_CFSV2-PRECIP_GPCC
IRI Forecast_old QV850_CFSV2-PRECIP_GPCC: QV850_CFSv2-PRECIP_GPCC
Forecast
IRI Forecast_old QV850_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old QV850_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
QV850_ECHAM-PRECIP_GPCC
IRI Forecast_old QV850_ECHAM-PRECIP_GPCC: QV850_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast_old QV850_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old QV850_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
SST_CFSV2-PRECIP_GPCC
IRI Forecast_old SST_CFSV2-PRECIP_GPCC: SST_CFSV2-PRECIP_GPCC
Forecast
IRI Forecast_old SST_CFSV2-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old SST_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
SST_ECHAM-PRECIP_GPCC
IRI Forecast_old SST_ECHAM-PRECIP_GPCC: SST_ECHAM-PRECIP_GPCC
Forecast
IRI Forecast_old SST_ECHAM-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old SST_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
SST_OBS-PRECIP_GPCC
IRI Forecast_old SST_OBS-PRECIP_GPCC: SST_OBS-PRECIP_GPCC
Forecast
IRI Forecast_old SST_OBS-PRECIP_GPCC Forecast: Forecast and Error
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
History
IRI Forecast_old SST_OBS-PRECIP_GPCC History: Predicand, Hindcast and Skill
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S]; Time: [Jan,Dec]; monthly
ISS
MD
Tools
Unaveraging
Monthly to Pentad
Time: [Jan,Dec]; monthly
Rachas
SPI
ANALYSIS
ANALISYS
served from iridl.ldeo.columbia.edu
Resolution: 0.5x2.5; Longitude: [58.75W,53.25W]; Latitude: [36.25S,28.75S]; Time: [Jan 1979,Nov 2019]; monthly
FORECAST
SST_CFSV2-CPC
Resolution: 1x1; Longitude: [59.5W,52.5W]; Latitude: [35.5S,29.5S];
MGAP
CPT
Resolution: 0.5x0.5; Longitude: [59.75W,52.25W]; Latitude: [35.75S,29.25S]; Time: [Sep,Nov]; monthly
DIEA
Comparativo_1990-2000-2011
Por_Departamento
Cultivos_cerealeros_e_industriales
MGAP DIEA Comparativo_1990-2000-2011 Por_Departamento Cultivos_cerealeros_e_industriales: 1990-2000-2011 - Cultivos cerealeros e industriales
Time: [1990,2011]; yearly
Lecheria
MGAP DIEA Comparativo_1990-2000-2011 Por_Departamento Lecheria: Produccion lechera
Time: [1990,2011]; yearly
IPA
MGAP IPA: Instituto Plan Agropecuario
CARGA_SEGURA
MGAP IPA CARGA_SEGURA: Carga segura por Zona Agroecológica
Establecimiento
MGAP IPA Establecimiento: Establecimiento Desconocido
Time: [Mar 2000,Dec 2013]; monthly
PPNA
MGAP IPA PPNA: PPNA mensual
Time: [Mar 2000,May 2017]; monthly
PPNA_UFFIP
MGAP IPA PPNA_UFFIP: PPNA predios UFFIP
Time: [Mar 2000,May 2017]; monthly
PPNA_UFFIP_03-2000_07-2015
MGAP IPA PPNA_UFFIP_03-2000_07-2015: PPNA predios UFFIP
Time: [Mar 2000,Jul 2015]; monthly
PPNA_UFFIP_2
MGAP IPA PPNA_UFFIP_2: PPNA predios UFFIP
Time: [Mar 2000,Jan 2016]; monthly
PPNA_UFFIP_desde_08-2015
MGAP IPA PPNA_UFFIP_desde_08-2015: PPNA predios UFFIP
Time: [Aug 2015,Jan 2016]; monthly
SNIG
MGAP SNIG: Sistema Nacional de Informacion Ganadera
ExGa
MGAP SNIG ExGa: Existencias de bovinos y ovinos segun Declaraciones Juradas (Sujeto a revision de DICOSE)
Time: [2005,2014]; yearly
UsoSuelo
MGAP SNIG UsoSuelo: Uso del Suelo segun Declaraciones Juradas (Sujeto a revision de DICOSE)
Time: [2005,2014]; yearly
NASA
NASA: National Aeronautics and Space Administration
FIRMS
NASA FIRMS: Focos de calor FIRMS
Resolution: 1x1; Longitude: [59W,53W]; Latitude: [35S,30S];
GES-DAAC
NASA GES-DAAC: GSFC Earth Sciences Distributed Active Archive Center
TRMM_L3
NASA GES-DAAC TRMM_L3: Tropical Rainfall Measuring Mission (TRMM) Level 3 Products
TRMM_3B42
v6
daily
NASA GES-DAAC TRMM_L3 TRMM_3B42 v6 daily: TRMM Daily Precipitation Estimates
Resolution: 0.25x0.25; Longitude: global; Latitude: [49.875S,49.875N]; Time: [1 Jan 1998,30 Jun 2011]; daily
three-hourly
NASA GES-DAAC TRMM_L3 TRMM_3B42 v6 three-hourly: TRMM Three-Hourly Precipitation Estimates
Resolution: 0.25x0.25; Longitude: global; Latitude: [49.875S,49.875N]; Time: [2230 31 Dec 1997 - 0130 1 Jan 1998,1930-2230 30 Jun 2011]
v7
daily
NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 daily: TRMM Version 7 Daily Precipitation Estimates
Resolution: 0.25x0.25; Longitude: global; Latitude: [49.875S,49.875N]; Time: [1 Jan 1998,2 Jan 1998]; daily
monthly
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Show Current Objects

Ingrid: HTMLwords SOURCES /NASA NASA[GES-DAAC FIRMS ] /GES-DAAC NASA GES-DAAC[TRMM_L3 ] /TRMM_L3 NASA GES-DAAC TRMM_L3[TRMM_3B42RT TRMM_3B42 ] /TRMM_3B42 NASA GES-DAAC TRMM_L3 TRMM_3B42[v7 v6 ] /v7 NASA GES-DAAC TRMM_L3 TRMM_3B42 v7[monthly three-hourly daily ] /monthly NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 monthly[scaledTRMM ] /scaledTRMM { } NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 monthly[scaledTRMM ] /scaledTRMM mark DATASET NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 daily[precipitation ] mark NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 daily[precipitation ] NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 daily[precipitation ] /precipitation 0.0 NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 daily precipitation[ X Y | T] grid: /T (days since 1998-01-01 00:00:00) ordered (1 Jan 1998) to (2 Jan 1998) N= 2 pts :grid 0 5 object 191262600 [ [ 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.57142857142857 0.36363636363636 0.26666666666667 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 1.0000000000000 0.72727272727273 0.42105263157895 0.29629629629630 1.0000000000000 0.66666666666667 0.40000000000000 0.28571428571429 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.53333333333333 0.34782608695652 0.25806451612903 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.80000000000000 0.44444444444444 0.30769230769231 0.16129032258065 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.57142857142857 0.36363636363636 0.26666666666667 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 1.0000000000000 0.72727272727273 0.42105263157895 0.29629629629630 1.0000000000000 0.66666666666667 0.40000000000000 0.28571428571429 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.53333333333333 0.34782608695652 0.25806451612903 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.80000000000000 0.44444444444444 0.30769230769231 0.16129032258065 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 ... 1.0000000000000 ] T[ T |] grid: /T (months since 1960-01-01) ordered (Jan 2009) to (Aug 2015) by 1.0 N= 80 pts :grid sumptwghts[ T |] fixpts[ T |] ] def 189272336 [ [ 0.66666666666667 0.40000000000000 0.28571428571429 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.53333333333333 0.34782608695652 0.25806451612903 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.80000000000000 0.44444444444444 0.30769230769231 1.0000000000000 0.72727272727273 0.42105263157895 0.29629629629630 1.0000000000000 0.66666666666667 0.40000000000000 0.28571428571429 1.0000000000000 0.57142857142857 0.36363636363636 0.26666666666667 1.0000000000000 0.53333333333333 0.34782608695652 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 0.19354838709677 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.57142857142857 0.36363636363636 0.26666666666667 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 1.0000000000000 0.72727272727273 0.42105263157895 0.29629629629630 1.0000000000000 0.66666666666667 0.40000000000000 0.28571428571429 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.53333333333333 0.34782608695652 0.25806451612903 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.80000000000000 0.44444444444444 0.30769230769231 0.16129032258065 1.0000000000000 0.50000000000000 0.33333333333333 1.0000000000000 0.88888888888889 0.47058823529412 0.32000000000000 1.0000000000000 0.61538461538462 0.38095238095238 0.27586206896552 1.0000000000000 0.57142857142857 0.36363636363636 0.26666666666667 ... 1.0000000000000 ] T[ T |] grid: /T (months since 1960-01-01) ordered (Apr 2000) to (Nov 2019) by 1.0 N= 236 pts :grid sumptwghts[ T |] fixpts[ T |] ] def 191458616 [ [ 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.76190476190476 1.0000000000000 0.72727272727273 1.0000000000000 0.66666666666667 1.0000000000000 0.64000000000000 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.55172413793103 1.0000000000000 0.51612903225806 1.0000000000000 1.0000000000000 0.88888888888889 0.41935483870968 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.76190476190476 1.0000000000000 0.72727272727273 1.0000000000000 0.66666666666667 1.0000000000000 0.64000000000000 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.55172413793103 1.0000000000000 0.51612903225806 1.0000000000000 1.0000000000000 0.88888888888889 0.41935483870968 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.76190476190476 1.0000000000000 0.72727272727273 1.0000000000000 0.66666666666667 1.0000000000000 0.64000000000000 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.55172413793103 1.0000000000000 0.51612903225806 1.0000000000000 1.0000000000000 0.88888888888889 0.41935483870968 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.80000000000000 1.0000000000000 0.76190476190476 1.0000000000000 0.69565217391304 1.0000000000000 0.66666666666667 1.0000000000000 0.61538461538462 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.53333333333333 1.0000000000000 1.0000000000000 0.94117647058824 0.45161290322581 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.76190476190476 1.0000000000000 0.72727272727273 ... 1.0000000000000 ] T[ T |] grid: /T (months since 1960-01-01) ordered (Jan 2009) to (Aug 2015) by 1.0 N= 80 pts :grid sumptwghts[ T |] fixpts[ T |] ] def 190173288 [ [ 1.0000000000000 0.80000000000000 1.0000000000000 0.76190476190476 1.0000000000000 0.69565217391304 1.0000000000000 0.66666666666667 1.0000000000000 0.61538461538462 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.53333333333333 1.0000000000000 1.0000000000000 0.94117647058824 0.45161290322581 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.76190476190476 1.0000000000000 0.72727272727273 1.0000000000000 0.66666666666667 1.0000000000000 0.64000000000000 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.55172413793103 1.0000000000000 0.51612903225806 1.0000000000000 1.0000000000000 0.88888888888889 0.41935483870968 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.76190476190476 1.0000000000000 0.72727272727273 1.0000000000000 0.66666666666667 1.0000000000000 0.64000000000000 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.55172413793103 1.0000000000000 0.51612903225806 1.0000000000000 1.0000000000000 0.88888888888889 0.41935483870968 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.76190476190476 1.0000000000000 0.72727272727273 1.0000000000000 0.66666666666667 1.0000000000000 0.64000000000000 1.0000000000000 0.59259259259259 1.0000000000000 0.57142857142857 1.0000000000000 0.55172413793103 1.0000000000000 0.51612903225806 1.0000000000000 1.0000000000000 0.88888888888889 0.41935483870968 1.0000000000000 1.0000000000000 0.94117647058824 1.0000000000000 0.80000000000000 1.0000000000000 0.76190476190476 1.0000000000000 0.69565217391304 1.0000000000000 ... 1.0000000000000 ] T[ T |] grid: /T (months since 1960-01-01) ordered (Mar 2000) to (Nov 2019) by 1.0 N= 237 pts :grid sumptwghts[ T |] fixpts[ T |] ] def NASA GES-DAAC TRMM_L3 TRMM_3B42 v7 daily precipitation[ X Y | T] myargs grid: /T (days since 1998-01-01 00:00:00) ordered (1 Jan 1998) to (2 Jan 1998) N= 2 pts :grid [ 1.0000000000000 0.50000000000000 ] grid: /T (days since 1998-01-01 00:00:00) ordered (0000 1 Jan 1998) to (0000 3 Jan 1998) by 1.0 N= 3 pts :grid grid: /T (days since 1998-01-01 00:00:00) ordered [ (0000 1 Jan 1998)] :grid 0

SOURCES

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