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1 
 Project
24 
 Topic Name
2 
 Keywords
1 
 Aggregation
4 
 Type
2 
 Code Type
2 
 Institutes
5 
 Persons
1 
 Format
Results
26 results found for "*:*"
CCAFS-CMIP5_Downscales
CCAFS-CMIP5_Downscales (Delta method downscaled CMIP5 database)
Project
CCAFS-CMIP5_Downscales (Delta method downscaled CMIP5 database)
Project Description
The datasets contained here are part of the International Centre for Tropical Agriculture (CIAT) and The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). We apply a simple
Creation Date
2019-02-18T13:17:55Z
[Entry id: -2000171] [ Score: 67.521416]
  • CCAFS-CMIP5_Downscales
    (project)    
CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
Identifier
doi:10.26050/WDCC/CCAFS-CMIP5_downscaling
Summary
We developed a global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. To develop the dataset, we applied the delta
Authors
Navarro Racines, Carlos Eduardo; Tarapues Montenegro, Jaime Eduardo; Thornton, Philip; Jarvis, Andy; Ramirez Villegas, Julian
Keywords
  • CMIP5
  • statistical downscaling
Creation Date
2019-02-18T13:17:55Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -180.00, 180.00 Latitude: -60.00, 90.00
Progress
completely archived
[Entry acronym: CCAFS-CMIP5_downscaling] [Entry id: 3845775] [ Score: 39.740547]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
CMIP5 Downscaled - Global Data Files
Identifier
doi:10.26050/WDCC/CCAFS-CMIP5_downscaling
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Authors
Navarro Racines, Carlos Eduardo; Tarapues Montenegro, Jaime Eduardo; Thornton, Philip; Jarvis, Andy; Ramirez Villegas, Julian
Creation Date
2019-02-18T16:12:05Z
Progress
completely archived
[Entry acronym: CMIP5_Downscaled_GDF] [Entry id: 3845777] [ Score: 20.199436]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_GDF
    (dataset_group)    
CMIP5 Downscaled - High Resolution Data Files of 18 Tiles
Identifier
doi:10.26050/WDCC/CCAFS-CMIP5_downscaling
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Authors
Navarro Racines, Carlos Eduardo; Tarapues Montenegro, Jaime Eduardo; Thornton, Philip; Jarvis, Andy; Ramirez Villegas, Julian
Creation Date
2019-02-18T16:12:05Z
Progress
completely archived
[Entry acronym: CMIP5_Downscaled_High_Res_DF] [Entry id: 3845778] [ Score: 20.199436]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
CMIP5 Downscaled - High Resolution Data Files of Tile B6
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:58Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: 120.00, 180.00 Latitude: -30.00, 30.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
71.84 GiB (77132624310 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: C5_Downscaled_High_Res_DF_ds12] [Entry id: 3845793] [ Score: 1.8604419]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
  • C5_Downscaled_High_Res_DF_ds12
    (dataset)   
CMIP5 Downscaled - High Resolution Data Files of Tile C1
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:58Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -180.00, -120.00 Latitude: -90.00, -30.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
1.9 GiB (2040414155 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: C5_Downscaled_High_Res_DF_ds13] [Entry id: 3845794] [ Score: 1.8604419]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
  • C5_Downscaled_High_Res_DF_ds13
    (dataset)   
CMIP5 Downscaled - High Resolution Data Files of Tile C2
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:58Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -120.00, -60.00 Latitude: -90.00, -30.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
121.4 GiB (130354010823 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: C5_Downscaled_High_Res_DF_ds14] [Entry id: 3845795] [ Score: 1.8604419]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
  • C5_Downscaled_High_Res_DF_ds14
    (dataset)   
CMIP5 Downscaled - High Resolution Data Files of Tile C3
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:58Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -60.00, 0.00 Latitude: -90.00, -30.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
87.76 GiB (94229937407 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: C5_Downscaled_High_Res_DF_ds15] [Entry id: 3845796] [ Score: 1.8604419]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
  • C5_Downscaled_High_Res_DF_ds15
    (dataset)   
CMIP5 Downscaled - High Resolution Data Files of Tile C4
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:58Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: 0.00, 60.00 Latitude: -90.00, -30.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
106.43 GiB (114273097411 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: C5_Downscaled_High_Res_DF_ds16] [Entry id: 3845797] [ Score: 1.8604419]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
  • C5_Downscaled_High_Res_DF_ds16
    (dataset)   
CMIP5 Downscaled - High Resolution Data Files of Tile C5
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:58Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: 60.00, 120.00 Latitude: -90.00, -30.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
14.85 GiB (15949913713 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: C5_Downscaled_High_Res_DF_ds17] [Entry id: 3845798] [ Score: 1.8604419]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
  • C5_Downscaled_High_Res_DF_ds17
    (dataset)   
CMIP5 Downscaled - High Resolution Data Files of Tile C6
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:58Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: 120.00, 180.00 Latitude: -90.00, -30.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
109.29 GiB (117346115446 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: C5_Downscaled_High_Res_DF_ds18] [Entry id: 3845799] [ Score: 1.8604419]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_High_Res_DF
    (dataset_group)    
  • C5_Downscaled_High_Res_DF_ds18
    (dataset)   
CMIP5 Downscaled - Global Data Files at 10 arc-m (20 km) resolution
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:38Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -180.00, 180.00 Latitude: -60.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
15.42 GiB (16556163616 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: CMIP5_Downscaled_GDF_ds01] [Entry id: 3845776] [ Score: 1.8604414]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_GDF
    (dataset_group)    
  • CMIP5_Downscaled_GDF_ds01
    (dataset)   
CMIP5 Downscaled - Global Data Files at 2.5 arc-m (~5 km) resolution
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:40Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -180.00, 180.00 Latitude: -60.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
187.51 GiB (201335356641 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: CMIP5_Downscaled_GDF_ds02] [Entry id: 3845779] [ Score: 1.8604414]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_GDF
    (dataset_group)    
  • CMIP5_Downscaled_GDF_ds02
    (dataset)   
CMIP5 Downscaled - Global Data Files at 30 arc-s (~1 km) resolution
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:40Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -180.00, 180.00 Latitude: -60.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
3.12 TiB (3433913526523 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: CMIP5_Downscaled_GDF_ds04] [Entry id: 3845781] [ Score: 1.8604414]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_GDF
    (dataset_group)    
  • CMIP5_Downscaled_GDF_ds04
    (dataset)   
CMIP5 Downscaled - Global Data Files at 5 arc-m (~10 km) resolution
Summary
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated
Topic Name
  • precipitation_amount
  • air_temperature (maximum)
  • air_temperature (minimum)
  • air_temperature-at2m-where_land (mean per year)
  • air_temperature-at2m-where_land (mean of warmest quarter (3 consecutive months))
Aggregation
mean over years (30) comment: climatology
Code Type
  • NONE
  • WorldClim_Bioclimatic_variables
Creation Date
2019-02-21T16:14:40Z
Date range
2020-01 TO 2099-12
Bounding Box
Longitude: -180.00, 180.00 Latitude: -60.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Progress
completely archived
Datasize
53.49 GiB (57437862514 Byte)
Format
ESRIarcinfoGrid.ascii.zip
[Entry acronym: CMIP5_Downscaled_GDF_ds03] [Entry id: 3845780] [ Score: 1.8604414]
  • CCAFS-CMIP5_Downscales
    (project)    
  • CCAFS-CMIP5_downscaling
    (experiment)    
  • CMIP5_Downscaled_GDF
    (dataset_group)    
  • CMIP5_Downscaled_GDF_ds03
    (dataset)