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This tool is to be used in conjuction with the weather generator. it is used to investigate a particular weather event that a user might be interested in (e.g. how often the temperature exceeds 36c in the future weather simulations and how this compares with the ‘current’ or baseline climate.)

First you will need to run the weather generator and download the results. You can then download the tool here to process the results.

The download contains a manual explaining how to setup and run the threshold detector over downloaded weather generator outputs.

Download Tool
Select year:
Daily station meteorological observations have been made available by many of the National Meteorological Services (NMSs) in the Caribbean. As 30 years of data is considered adequate to describe climatic variability, this section provides summaries of the available data for stations across the region. Selecting a common 30-year period would omit some locations, so we have chosen two periods (1971-2000 and 1981-2010). Not all stations are complete for all our selected weather variables. We cannot supply the original station data we have used due to restrictions imposed by the NMSs. Users who require this data should approach the relevant NMS. Users can reproduce graphics and data produced from the summaries provided here.

Variables include:
In the absence of local meteorological observations, an alternative description of the local climate can be obtained from weather-forecasting model based estimates of the local weather, described as reanalysis data. Such a service is provided by ERA-Interim datasets (produced by ECMWF), a global, gridded, multivariate and self-consistent estimate of the weather. ERA-Interim data is available from 1979 to 2011 with a resolution of 0.75° latitude and longitude over the whole globe.This dataset consites data for the Caribbean region from 1981-2010.

Variables include:
The Climatic Research Unit (UEA) of the University of East Anglia (UEA) has taken monthly station data for a number meteorological variables and interpolated these data to land areas of the world with a high-spatial resolution of 0.5 by 0.5 degrees latitude and longitude. The dataset describing this has the name CRU TS 3.22 and is described in Harris et al. (2014). This study updates earlier work in 1999 and 2000 and also in 2005. This work is discussed in Harris et al. (2014). Using a high-resolution map of national boundaries from the United Nations, the high-resolution spatial data have additionally been averaged to countries and territories that are in the UN list.

Variables include:

Additionally, Potential evapotranspiration has been calculated (see details in Harris et al. 2014).
A simple advection model premised on past memorable and notable storms generating grids for each 15 minute epoch int the storm model

Variables include:
The Weather Generator provides simulations for a single location of internally consistent daily timeseries of meteorological variables: precipitation, temperature (min and max), vapour pressure, wind speed and sunshine. Based on these simulations, the following variables may also be calculated on a daily basis: relative humidity; Potential Evapotranspiration (PET), and Diffuse and Direct Radiation.
PRECIS Regional Climate Model projections of the weather over the region for various baselines and future time horizons at 25 km resolution. PRECIS was driven by HADCM3Q0 and ECHAM5 under the A1B emissions scenario.

Variables include:
Change Factors provide a measure of the RCM projected change in the climate from a baseline to a future scenario across the region with a 25km resolution. Typically, this is expressed as a ratio (future/baseline), e.g. for rainfall, or a difference (future - baseline), e.g. for temperature.

Variables include:
Each Weather generator simulation run produces 100 future climate weather simulations, and 100 current (baseline) climate weather simulations.This tool processes these files to investigate a particular weather event that might be of interest in (e.g. how often the temperature exceeds 36c in the future weather simulations and how this compares with the current or baseline
Map Control Help - Help file
Map Toolbar

The Cariwig portal uses a web mapping platform that allows users to investigate and interact with mapped data. This help document describes the map panel operations.

Each portal map page has the same set of map panel tools. These tools allow the user to navigate the map.

This dropdown allows the user to select their preferred base mapping. The default shows Blue Marble based aerial imagery from Currently the user can also select OpenStreetMap data as base mapping.
Zoom to

This panel allows the user to position the map to a specific geographical location. You can select from the dropdown or interactively type the location in the search box. Only major islands are listed in this dropdown.
Map controls

The icon bar allows the user to set the map navigation mode and to navigate the map
Home view

The home button takes the user back to the default regional view
Zoom mode

This button changes the mode to “Zoom”. To zoom into the map drag a box whilst depressing the left mouse button. Release the mouse button to zoom in.

On many configurations the mouse wheel can be used to zoom the map in and out as well.
Pan mode

This button allows the user to pan (move) the map. Press and hold the left mouse button whilst moving the mouse in the map panel to pan the map.
Zoom In

zooms the map in by a fixed amount.
Zoom Out

zooms the map out by a fixed amount.
Back view

This button moves the map view back to the previous view if available
Forward Toolbar

This button moves the map to the next view if available
Download Map

A Jpeg version of the current map display can be downloaded for use in reports etc.

The show legend button shows the legend for the map. To hide the legend select hide legend

The current map coordinates of the cursor are displayed in the bottom right hand corner of the map (WGS84 Longitude/Latitude)