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We provide here some very useful links related to climate and its applications, including research aspects. We hope to keep expanding this page by adding new information as and when it becomes available to us. Please let us know if you wish to have any relevant link to be included here.

Climate Explorer

The KNMI (Royal Netherlands Meteorological Institute) Climate Explorer is a public web site aimed at climate researchers, forecasters and students. It allows the user to investigate station data, gridded analyses, reanalysis data, past seasonal forecasts and climate change experiments. All these data can be plotted, manipulated and correlated. For example, one can make detailed maps of ENSO teleconnections, or conversely, correlate rain observations at a station or an area average with SST some months earlier to get an impression of seasonal predictability. A special section is dedicated to seasonal forecast verification. Other modules comprise spectrum, autocorrelation function, wavelets, extreme value statistics, running correlations, EOFs, etc. Finally, the user can upload his or her own data to be analysed as part of the system.

http://climexp.knmi.nl

 

Climate Explorer Figure 1

 

 

 

 

 

 

 

Climate Explorer Fig 2

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ClimatView

The Tokyo Climate Center (TCC) of the Japan Meteorological Agency (JMA) launched a web-based interactive climate database “ClimatView”, a new service that provides monthly climate data of the world. ClimatView enables users to view or download monthly mean temperature and monthly total precipitation derived from CLIMAT reports which have been received and monitored by two GCOS Surface Network Monitoring Centers, JMA and Deutscher Wetterdienst (DWD), since 1982 and 1999, respectively.

http://ds.data.jma.go.jp/gmd/tcc/climatview/

 

ClimatView

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Climate Predictability Tool (CPT)

The Climate Predictability Tool (CPT), developed by the International Research Institute for Climate and Society (IRI), USA, provides a Windows package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures.

http://iri.columbia.edu/outreach/software/

 

CPT

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