West African Rainfall Predictability by SST

Predictability of weather-within-climate variability of rainfall by a user defined SST Index - Total Rainfall - Number of Wet Days - Rainfall Intensity - Number of Dry Spells - Number of Wet Spells 3 rainfall datasets (TAMSAT v3, CHIRPS, and ARC2) are used individually with SST to calculate the tercile probabilities of 5 rainfall characteristics of West Africa 1983-2014.

Data and Resources

Rainfall CharacteristicsHTML
Rainfall characteristics predictability by custom SST index. 0.4km spatial...
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Additional Info

Field	Value
Last Updated	July 31, 2019, 05:16 (EDT)
Created	July 31, 2019, 05:16 (EDT)
GUID	99491db9-8335-4c46-b260-c7ef356f161f
access_constraints	[]
bbox-east-long	23.5
bbox-north-lat	20
bbox-south-lat	4
bbox-west-long	-18
contact-email	remic@iri.columbia.edu
coupled-resource	[]
dataset-reference-date	[{"type": "creation", "value": "2018-04-27"}]
frequency-of-update	continual
graphic-preview-description	Rainfall by SST
graphic-preview-file	https://www.servirglobal.net/Portals/0/Images/MetadataThumbs/AGRHYMET_Rain_SST.PNG
licence	["The SERVIR Project, NASA, USAID, and IRI make no express or implied warranty of this data as to the merchantability or fitness for a particular purpose. The US Government shall not be liable for special, consequential or incidental damages attributed to this data.", "Users are permitted to download and use data without limitations. SERVIR encourages users to keep any adapted or redistributed versions of this data freely available for public use."]
metadata-date	2018-11-30T19:43:50
metadata-language
progress	completed
resource-type
responsible-party	[{"name": "International Research Institute for Climate and Society", "roles": ["originator"]}]
spatial	{"type": "Polygon", "coordinates": [[[-18.0, 4.0], [23.5, 4.0], [23.5, 20.0], [-18.0, 20.0], [-18.0, 4.0]]]}
spatial-data-service-type
spatial-reference-system
spatial_harvester	true