climate data interface

Location categories returned will have data before the specified date.

Accepts a valid station id or a chain of station ids separated by ampersands.

Web developers can use this API to access the knowledge portal’s data in real time to support their own applications, so long as they abide by the World Bank’s Terms of Use. Data categories returned will have data before the specified date. “ingv_echam4” and “ukmo_hadgem1” models do not have B1 scenario data.

Contribute to ropensci/rWBclimate development by creating an account on GitHub.

The following video shows how a Climate Data Services’ tool has benefitted the science community: Using data from the last 35 years scientists are able to better examine the patterns of heat waves.WATCH HERE.

Accepts a valid location id or a chain of location ids separated by ampersands. After conditions are initialized using real observations, the model is moved forward one “time step”.

Again, note that these data are proxies for temperature and precipitation, where modeling has been used to extrapolate estimates where instrumental (station) data were unavailable or unreliable, especially in the early 1900’s.

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Accepts a valid location id or a chain of location ids separated by ampersands.

Details of all UKCP datasets can be found on the CEDA Catalogue.

Please note, this should only be accessed by users that are familiar with handling large climate datasets. Also given that only two time periods are available, there is no need to enter in a specific year range.

A station is a any weather observing platform where data is recorded. These countries chosen span the north to south pole. The example would begin with record 24, https://www.ncdc.noaa.gov/cdo-web/api/v2/datacategories/, Used to find information about datacategory with id of, https://www.ncdc.noaa.gov/cdo-web/api/v2/datacategories, When used without optional parameters, fetches list of available datacategories.

Number of days with maximum temperature above the control period’s 90th percentile (hot days), Number of days with minimum temperature above the control period’s 90th percentile (warm nights), Number of days with maximum temperature below the control period’s 10th percentile (cool days), Number of days with minimum temperature below the control period’s 10th percentile (cold nights), Number of days with minimum temperature below 0 degrees Celsius, Number of days with precipitation greater than 0.2 mm, Number of days with precipitation greater than 2 mm, Number of days with precipitation greater than 10 mm, Number of days with precipitation greater than the control period's 90th percentile, Average number of days between precipitation events.

An error occurred while loading dataset metadata. If nothing happens, download GitHub Desktop and try again. Accepts a valid station id or a chain of of station ids separated by ampersands. Data can be extracted from countries or basins submitted as vectors. Monthly data is actually the mean monthly temperature or precipitation value for each month from 1901-2009 for countries, or 1960-2009 for basins. (although it is rare to have a data type with more than one data category).

Note these data are modeled estimates of temperature and precipitation changes in different time periods under different GCMs and scenarios.

It provides end-to-end capabilities for managing NASA’s Earth science data from various sources—satellites, aircraft, field measurements, and various other programs.

The control period is 1961-1999 for temperature and precipitation variables, and 1961-2000 for derived statistics.

Such big data presents challenges to climate scientists—not to mention the government, agriculture, education, and business communities—in extracting scientific discovery and value.

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