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Climate

This maproom presents an approximate decomposition by time scale of twentieth-century precipitation variations.
Time Scales Maps
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UNEPLive supports the demand for substantiated, contextualized knowledge about the environment by providing a clearinghouse of data sets, knowledge flows, and communities of networks. UNEPLive is a web-based platform to: · facilitate the exchange and sharing of up-to-date data, information, assessments and knowledge amongst member countries, research networks, communities of practice, indigenous peoples and society, in order to keep the environment and emerging issues under review. · provide open access to national and regional information and global datasets · provide a range of big-data, visualisation, mapping and publishing tools via local and cloud services · underpin UNEP's role as UNEA's information and knowledge service provider especially in the delivery of information and evidence to support the SDGs and post 2015 agenda At the 27th session of the Governing Council/Global Ministerial Environment Forum Nairobi, (18-22 February 2013), UNEP was requested to implement the next phase of UNEPLive during the 2014-2015 biennium as an open platform in continued alignment with relevant environmental information systems designed for global, regional and national environmental assessment and data sharing; and to undertake and encourage capacity-building activities to ensure that developing countries and countries with economies in transition are able to work with UNEPLive and contribute to scientifically sound evidence-based environmental assessment processes. The UNEPLive platform aims to fulfill this mission by: · enlarging the knowledge base for global environmental policy through community networking · encouraging and supporting greater community networking; · embracing new developments in information and communication technologies and enhancing knowledge service delivery through improved translation and search functions; improving access to its information and knowledge services using distributed computing · widening the use of its services through clear strategies for governance and data use that reflects the general principles of streamlining, sharing and access · involving staff and experts from across UNEP, the MEAs and other UN organisations and national institutions, plus regional and global environmental change programmes and assessments.
UNEP Live
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The IRI Data Library is a vital global public good that serves as a springboard for users worldwide to incorporate science-based approaches for climate conscious planning and decision making. The Data Library serves as a point of access and means of understanding vital climate and social science metrics for our continually changing world. The Data Library offers free access to hundreds of high-value datasets and provides the tools and training to perform analysis and inform decisions. Gaining access to accurate and actionable data in planning, research, and governance empowers users to harness the information within data. It can revolutionize the way individuals and organizations approach their work. The Data Library compiles raw climate, geophysical, health and agriculture data from numerous providers and formats into a common framework that makes powerful cross-disciplinary research and analysis possible. The climate, socio-economic, and geophysical datasets from the Data Library represent a compilation of sources and scales, available at different resolutions. Climate data includes historical and projected precipitation levels, sea, surface and air temperatures, and models, forecasts and simulations. Physical datasets include information on ice, hydrology, topography and oceanography. Socio-economic datasets feature information on population, disease incidence, food security, crop yields and energy use. Map Room mapping tools allow users to select and manipulate certain variables to create custom spatial visualizations of regions, timeframes, and subjects of interes
IRI Data Library
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The CCKP provides a web-based platform to assist in capacity building and knowledge development. The CCKP consists of spatially referenced data visualized on a Google Maps interface. Users are able to evaluate climate-related vulnerabilities, risks, and actions for a particular location on the globe by interpreting climate and climate-related data at different levels of details.The CCKP contains environmental, disaster risk, and socio-economic datasets, as well as synthesis products, such as the Climate Risk and Adaptation Country Profiles, which are built and packaged for specific user-focused functions such as climate change indices for a particular country. The portal also provides intelligent links to other resources and tools. The Climate Change Knowledge Portal allows you to: Learn about climate information. Increase your knowledge on climate change related actionsMap, download, and use resourceful data The aim of the portal is to help provide development practitioners with a resource to explore, evaluate, synthesize, and learn about climate related vulnerabilities and risks at multiple levels of details. Using climate science research results to inform the decision making process concerning policies or specific measures needed to tackle climate impacts, or even to understand low carbon development processes, is often a difficult, yet crucial, undertaking.
Climate Change Knowledge Portal (CCKP)
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The Climate Predictability Tool (CPT) 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. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA) or principal components regression (PCR) on any data, and for any application.
Climate Predictability Tool (CPT)
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Download data and products from ESA Earth Observation missions, which can be used to fulfil a wide range of applications. ESA EO data can be accessed via product descriptions on this website, the ESA EO Catalogue (EO CAT) and the Copernicus Open Access Hub.
Earth Observation by European Space Agency (ESA)
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The Global Information and Early Warning System (GIEWS) is the leading source of information on food production and security for every country in the world, whether or not it is an FAO member. Over the years, a unique database on global, regional, national and subnational food security has been maintained, refined and continuously updated. Global Information and Early Warning System on Food and Agriculture (GIEWS) monitors the condition of major food crops across the globe to assess production prospects. To support the analysis and supplement ground based information, GIEWS utilizes remote sensing data that can provide a valuable insight on water availability and vegetation health during cropping seasons. In addition to rainfall estimates and the Normalized Difference Vegetation Index (NDVI), GIEWS and FAO NRC Division have developed the Agricultural Stress Index (ASI), a quick-look indicator for early identification of agricultural areas probably affected by dry spells, or drought in extreme cases. The seasonal indicators are designed to allow easy identification of areas of cropped land with a high likelihood of water stress (drought). The indices are based on remote sensing data of vegetation and land surface temperature combined with information on agricultural cropping cycles derived from historical data, and a global crop mask. The final maps highlight anomalous vegetation growth, and potential drought, in crop zones during the growing season. The satellite data used in the calculation of the mean VHI and the ASI is the 10-day (dekadal) vegetation data from the METOP-AVHRR sensor at 1 km resolution (2007 and after). Data at 1 km resolution for the period 1984-2006 was derived from the NOAA-AVHRR dataset at 16 km resolution. The crop mask is a modified version of an EC-JRC data set that compiles several different sources of land cover data, including GlobCover V2.2, Corine-2000, AfriCover, SADC data set and USGS Cropland Use Intensity Data Set. The vegetation indicators (NDVI anomaly, VCI and VHI) provide alternative measures of the relative vegetation health. These indices can be used to monitor areas where vegetation may be stressed, as a proxy to detect potential drought. The precipitation indicators present a global analysis of the absolute (mm) and relative (%) rainfall levels per dekad, in addition to the long-term average precipitation levels (mm). All three vegetation indicators are based on 10-day (dekadal) vegetation data from the METOP-AVHRR sensor at 1 km resolution (2007 and after). Data at 1 km resolution for the period 1984-2006 was derived from the NOAA-AVHRR dataset at 16 km resolution. Precipitation estimates for all African countries (except Cabo Verde and Mauritius) are taken from NOAA/FEWSNet, while for the remaining countries data is obtained from ECMWF.
Earth Observation by GIEWS
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Seasonal forecasts of temperature and precipitation.
Flexible Format Seasonal Forecast
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The GeoSpatial Toolkit is a map-based software application that integrates renewable energy resource data and other GIS data for integrated resource assessment. The Geospatial Toolkit (GsT) enables exploration and simple analysis of renewable potential without expertise in geographic information systems (GIS). It combines software (GIS capabilities) plus data (resource, land use, and infrastructure data) into a downloadable package that can be used on any Windows desktop. Toolkit functionalities include:Viewing solar and wind data and overlay roads, transmission lines, land use and elevation. A user can zoom in and out and move all around exploring the renewable energy opportunities for a country.Running queries that will calculate the land area meeting certain criteria, such as minimum resource values, proximity to infrastructure, restricted land use, and slope characteristics.Clicking on a location to use the underlying resource values to develop a HOMER file which can simulate systems that will meet the loads of pre-designed off-grid loads. These files can also be used in the full version of HOMER for more sophisticated users.
GeoSpatial Toolkit (Geospatial Data Science Data and Tools)
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