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CCI Soil Moisture Dataset Release (Soil Moisture v03.3)

The Soil Moisture CCI team is pleased to announce the release of their latest dataset, CCI Soil Moisture v03.3, which incorporates an extension to the global time-series (up to December 2016, nearly four decades in total) of soil moisture satellite data provided by the previously released CCI Soil Moisture v03.2 dataset.

For more information and data, please visit the CCI page for Soil Moisture

The Recovery of the Earth’s Ozone Layer

The reward for continuous international efforts to reduce atmospheric concentrations of ozone-depleting substances (e.g. chlorofluorocarbons (CFCs)) is beginning to materialise - climate scientists, using three decades of ozone measurements (from multiple instruments/satellites, harmonised under ESA’s Climate Change Initiative (CCI) Ozone project), are now seeing a trend indicative of the global recovery of the Earth’s ozone layer. The ozone layer, which resides in the Stratosphere, protects life on the Earth’s surface from harmful exposures to ultraviolet (UV) radiation from the Sun and so its presence and preservation is important.

For more information, please see the ESA news item or visit the CCI page for Ozone.

GCOS: Open Review of the Current Requirements for ECVs

The Global Climate Observing System (GCOS) is launching an open review of the current requirements for Essential Climate Variables (ECVs) and would like to invite a wide range of reviewers to participate.

The open review will be the first step for a revision and update of the requirements planned for 2021/2. Revisions to the existing ECV and ECV products, or proposals for new ECV or ECV products, can be made and, support for the existing requirements is also encouraged. Comments should be submitted by the end of 2017 using the online form at https://www.research.net/r/ECVRequirements.

Snow Maps Reveal Shifts in Springtime Carbon Dioxide Uptake

Daily snow cover maps of the northern hemisphere show that spring plant growth has shifted 8 days earlier on average, over 36 years. As a result of rising global temperatures, the melting of seasonal snow cover is happening earlier in spring. However, the response of the surrounding boreal forests has been to increase their uptake of carbon dioxide from the atmosphere through photosynthetic activity.

CCI Sea Ice Dataset Release (Sea Ice Concentration v2.1)

The Sea Ice CCI team is pleased to announce the release of their latest dataset, Sea Ice Concentration v2.1, which incorporates an extension to the time-series (up to May 2017) provided by the previously released Sea Ice Concentration v2.0 dataset.

For more information, please visit the CCI page for Sea Ice or the CEDA catalogue entry.

CCI Toolbox v1.0 now available

CCI Toolbox v1.0 now available.

The CCI Toolbox team would like to invite you to install the new release of their software, download some data and try out the latest display features and operations.  

CCI Land Cover: Prototype high-resolution Land Cover map of Africa released

The first high-resolution (20 m per pixel) land cover map (prototype), classifying land cover types on the entire continent of Africa, has been released by the ESA Climate Change Initiative (CCI) Land Cover project. This is a prototype map, created using a year's worth of data from Sentinel-2a, allows for the exploration of Africa's diverse landscapes in detail. User feedback is requested on the use of the dataset.

For more information, please see the ESA news item.

The Use of Satellite Data in Ice-sheet Sea-level Projections

The use of satellite data is vital to producing improvements in ice-sheet sea-level projections; a new paper (click here for link, published in Nature Climate Change) by the Antarctic Ice-sheet CCI project science leader, Andrew Shepherd (Centre of Polar Observation and Modelling (CPOM), University of Leeds), explains how ice-sheet models have improved and shows, by comparing Intergovernmental Panel on Climate Change (IPCC) predictions of ice-sheet sea-level rise with Ice-sheet Mass Balance Inter-comparison Exercise (IMBIE) data, that IPCC AR5 projections match actual ice-sheet trends.

RSE Special Issue on EO of ECVs by CCI Scientists

The aim of this special issue (click here for link), published in the Remote Sensing of Environment (RSE) journal, is to demonstrate how Essential Climate Variables (ECVs) can be generated from Earth Observation (EO) data and then used in climate modelling and other climate-related applications. Included in this issue are a number of papers solicited from those involved in running the Climate Change Initiative (CCI) ECV projects as well as the wider community of CCI dataset users.

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