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ocean colour climate change initiative

ocean colour climate change initiative

To create a time-series of satellite data, the OC-CCI project implemented the use of . Sensors (Basel). This uses the 15 years of Ocean Colour Climate Change Initiative (OC-CCI) data, oceanic based in-situ observations and advanced statistical spatio-temporal time series analysis tools. The Ocean Colour Climate Change Initiative project aims to: Develop and validate algorithms to meet the Ocean Colour GCOS ECV requirements for consistent, stable, error-characterised global satellite data products from multi-sensor data archives. The Ocean Colour Climate Change Initiative CZCS July Climatology from NASA OC-CCI July 2003 MODIS July Climatology from NASA SeaWiFSJuly Climatology from NASA A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data records. "It is critical that the ocean colour dataset as part of the Climate Change Initiative be extended and maintained on a regular basis, so that we have an empirical record of the response of ocean . In the long-term, such an approach will . Frontiers | Impact of El Niño Variability on Oceanic ... Being able to observe and quantify primary production over long . New research investigates global carbon cycle from ... PDF Regional ocean-colour chlorophyll algorithms for the Red Sea PDF ECV Data Access in the ESA Climate Change Initiative (CCI) doi: 10.3390/s19194285 The Ocean Colour CCI (OC-CCI) project is one of 14 ESA funded CCI projects. As the United States becomes increasingly diverse, understanding how the current crisis impacts people of different racial and ethnic backgrounds is imperative. The observation that satellite-derived products have large errors and specific regional biases is relatively well under-stood in the ocean colour scientific community (Hu et al., The Ocean Colour Climate Change Initiative intends to provide a long-term time series of ocean colour data and investigate the detectable climate impact. Time series of the products at the global scale and at high spatial resolution, derived from ocean-colour . Plastic pollution is disrupting the delicate balance in marine environments, with over 8m tonnes of plastic entering our ocean each year. Marine heatwaves across the world's oceans can displace habitat for sea turtles, whales, and other marine life by 10s to thousands of kilometers. The data were acquired from several sources (MOBY, BOUSSOLE, Results showed that machine learning methods produced obvious better performance than the blue-to-green band ratio algorithm, and XGBoost was the most robust among the tested three machine learning . USDA's nutrition programs are the most far-reaching tools available to ensure all Americans have access to healthy, affordable food. Ocean Colour Climate Change Initiative . CCI programme that are of main interest to the climate users. Observed fields are from the Ocean Colour Climate Change Initiative (OC-CCI) project. In FY22, the USDA will build on the innovation required by our COVID-19 pandemic response, as well as the historic investments in food and . Shubha Sathyendranath, also from PML and ESA's Ocean Colour Climate Change Initiative project, added, "This work highlights the intricate interplay among various components of Earth's climate system. The URL specifies what you want: the dataset, a description of the graph or the . Through its Climate Change Initiative (CCI), ESA develops a suite of satellite data records of key components of the climate system, known as Essential Climate Variables (ECVs). Using griddap to Request Data and Graphs from Gridded Datasets griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. • To ensure the ECV data products and other results of the CCI programme are provided to users in a consistent and complementary way to other key initiatives, such as the Copernicus Climate Change Service (CCCS) and the international Global Climate Observing System (GCOS). . The ocean colour climate change initiative: III. The aims of OC-CCI are to create a long-term, consistent, error-characterised time series of ocean-colour products, for use in climate-change studies. observable throughout most of the planetary biomes. We (IOPs) of the water, at global scale for use in climate-change studies. Climate change and acidification trends will accelerate over the next several decades unless there is deliberate action to curb greenhouse emissions. Slide 2 • Phase 1 focussed on Case-1 waters, which are considered single-variable systems • Case-2 waters are multi-variable, optically-complex waters, often encountered in coastal waters and inland waters Satellite images from 1998-2018 were collected. Being able to observe and quantify primary production over long . This work is a contribution to the European Space Agency Ocean Color Climate Change Initiative (ESA OC-CCI), the European Space Agency Living Planet Fellowship program (CLIMARECOS), and to the NERC National Centre for Earth Observation (NCEO). The Ocean Colour Climate Change Initiative project aims to: Develop and validate algorithms to meet the Ocean Colour GCOS ECV requirements for consistent, stable, error-characterised global satellite data products from multi-sensor data archives. Abstract:Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote-sensing reflectances) in the visible domain, and chlorophyll-a concentration are identified as required ECV products. New research supported by CPO's Climate Variability and Predictability (CVP) Program shows that the strength of the Atlantic Meridional Overturning Circulation (AMOC), a large system of ocean currents that transports . Bringing together world-class minds, pioneering practitioners and emerging leaders, we target breakthrough solutions that combat climate change while protecting and conserving . A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data records. An ocean-colour time series for use in climate studies: the experience of the ocean-colour climate change initiative (OC-CCI) S Sathyendranath, RJW Brewin, C Brockmann, V Brotas, B Calton, . The data were acquired from several sources (including, inter alia, MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT and GePCO) and span the period from 1997 to 2018. The data were acquired from several sources (MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT, GeP&CO), span between 1997 . A reliable and stable atmospheric correction procedure is the basis for ocean colour products of the necessary high quality. OCI is designed to support heritage and advanced ocean-colour applications, as well as atmosphere and cloud science. The agreement between trend distributions associated with OC-CCI data and single-mission products usually appears as good as when single-mission products are compared. ESA UNCLASSIFIED - For Official Use Ocean Colour and the marine carbon cycle Bob Brewin1,2 1 Plymouth Marine Laboratory (PML), Prospect Place, The Hoe, Plymouth PL1 3DH, UK 2 National Centre for Earth Observation, PML, Plymouth PL1 3DH, UK White areas are regions where model resolution is too coarse to capture the smaller seas or regions of constant ice cover. The data were acquired from several sources (MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT, GeP&CO), span between 1997 . 4. The Indonesian Maritime Continent (IMC) has been greatly affected by climate change, and within the IMC variations of phytoplankton Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). About This site provides satellite observations of ocean colour, focusing on the Ocean Colour Climate Change Initiative project ( see more about this project ). The Ocean Colour Climate Change Initiative: II. We used the satellite observation of chlorophyll a concentration from the European Space Agency's Ocean Colour Climate Change Initiative (ESA-CCI, version 3) 31 from 1998 to 2019. Combining long-term satellite data with in situ measurements, they assessed global annual primary productivity from 1998-2018.. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). Rising atmospheric carbon dioxide and climate change produce upper-ocean warming, sea-ice retreat, sea-level rise, ocean acidification, altered freshwater distributions, and maybe even stronger . Spatial and temporal homogeneity of satellite data retrieval due to systematic effects in atmospheric correction processors." Remote Sensing of Environment 162 257-270 [10.1016/j.rse.2015.01.033 . Prior to generating such products, suitable algorithms have to be selected that are appropriate for the purpose. White areas are regions where model resolution is too coarse to capture the smaller seas or regions of constant. The proposed methodology is applied to the multi-mission Ocean Colour-Climate Change Initiative (OC-CCI) Chla data. "Global ocean phytoplankton", State of the Climate 2014, Bulletin of the American Meteorological . Ocean Colour and Ocean Models for Climate Research Ocean-colour observations are a valuable adjunct to models of the marine ecosystem, biogeochemistry and fisheries, serving to test . The authors thank the ESA CCI teams for providing OC-CCI chlorophyll data, SL-CCI sea level data, and . It is rich in life-sustaining resources, regulates our climate . might change • Other substances that absorb and scatter light in the visible domain might change, relative to chlorophyll-a • The phenology might change (e.g. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). To measure that temporary dislocation of ocean . In a recent paper published in Remote Sensing, scientists used data from the Ocean Colour Climate Change Initiative to study the long-term patterns of primary production and its interannual variability. As the period of analysis is extended beyond 2012 to 2015, the . An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI). Land coverage data • Source: USGS'sLandsat: 1995, 2006, 2017. Chlorophyll-a (Chl-a) concentration, for the period January 1998-December 2013, was obtained from ESA's Ocean Colour-Climate Change Initiative (OC-CCI) website ( Sathyendranath et al., 2016, see also https://www.oceancolour.org ). Making use of a new merged ocean-colour product, from the European Space Agency (ESA) Climate Change Initiative, and in situ data in the region, we test the performance of a series of ocean-colour chlorophyll algorithms. My so-called "expertise" lies in the realm of ocean color satellites and bio-optical remote sensing. 5. While keeping the food supply safe, as USDA does each day, we must also tackle both food and nutrition insecurity. (in prep)."; PACE is also expected to carry two polarimetres that measure polarised light at multiple view angles: the Hyperangular Rainbow Polarimetre 2 (HARP2), and the Spectro-polarimetre for Planetary Exploration (SPEXone). Combining long-term satellite data with in situ measurements, they assessed global annual primary productivity from 1998-2018.. Urbanisation, pollution and overfishing are threatening our blue planet. Home; Profiles; Research Units; Projects; Research output; Activities; Prizes As the period of analysis is extended beyond 2012 to 2015, the . Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). To understand the dynamics of the POC pool in the ocean, it is essential to capture consistent long-term time series data with adequate spatial resolution suitable for climate studies. Red Sea in the context of satellite ocean-colour estimates of chlorophyll concen-tration. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). 2019 Oct 03; 19(19). In a recent paper published in Remote Sensing, scientists used data from the Ocean Colour Climate Change Initiative to study the long-term patterns of primary production and its interannual variability.Combining long-term satellite data with in situ measurements, they assessed global annual primary productivity from 1998-2018.. Changes in primary production varied location to location, season . An ocean-colour time series for use in climate studies: the experience of the ocean-colour climate change initiative (OC-CCI) S Sathyendranath, RJW Brewin, C Brockmann, V Brotas, B Calton, . ocean-colour satellite applications - version two André Valente 1 , Shubha Sathyendranath 2 , Vanda Brotas 1,2 , Steve Groom 2 , Michael Grant 2,3 , Malcolm Taberner 3 , David Antoine 4,5 , Robert Arnone 6 , William M. Balch 7 , Kathryn Barker 8,9,10 , Spatial and Temporal Homogeneity of Satellite Data Retrieval Due to Systematic Effects in Atmospheric Correction Processors The established procedure to access the quality of atmospheric correction processors and their underlying algorithms is the comparison of satellite data products with related in-situ measurements. Ocean Colour Climate Change Initiative: Future Plans . . Sensors 19 (19), 4285 , 2019 In a recent paper published in Remote Sensing, scientists used data from the Ocean Colour Climate Change Initiative to study the long-term patterns of primary production and its interannual . griddap uses the OPeNDAP Data Access Protocol (DAP) and its projection constraints.. Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote-sensing reflectances) in the visible domain, and chlorophyll-a concentration are identified as required ECV products. Sensors, 19(19), 4285. doi: 10.3390/s19194285 Zhang et al. From this we decompose the biome time-spectral structure into seasonal, inter-annual features (including ENSO) They dramatically shift these animals' preferred temperatures in a fraction of the time that climate change is expected to do the same, new research funded by NOAA's Climate Program Office shows. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). A global compilation of in situ data is useful to evaluate the quality of ocean-colour satellite data records. The URL specifies what you want: the dataset, a description of the graph or the . All official European Union website addresses are in the europa.eu domain.. See all EU institutions and bodies Total suspended matter:2002-2012 • Source: ESA'sMERIS satellite sensor. Blue Climate Initiative | 1,317 followers on LinkedIn. Sea surface temperature (SST): 1998-2017 • Source: NOAA'sOptimum Interpolation SST (OISST) products. The Ocean Colour Climate Change Initiative (OC-CCI) project, one of fourteen European Space Agency (ESA) CCI projects, was launched to produce a long-term, consistent, error-characterized time series of ocean-colour data for use in climate-change studies [21]. As greenhouse gas concentrations increase, a warmer climate is expected, but large-scale internal climate processes can affect the rate and amount of our planet's warming. The data was obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative project and contained merged products of observations from the Sea-viewing Wide Field-of-View Sensor (SeaWiFS, 1997-2010), the Medium Resolution Imaging Spectrometer (MERIS, 2002-2012), the Moderate Resolution Imaging Spectroradiometer (MODIS . The Ocean Colour Climate Change Initiative (OC-CCI) products (chlorophyll-a concentration, remote-sensing reflectance, and inherent optical properties) provide . An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI) Shubha Sathyendranath, Robert J.W. A round-robin comparison on in-water bio-optical algorithms . Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. 6. Sensors, 19 (19). These files are daily composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and . Fortunately, the ocean is a critical part of the climate change solution, and provides innumerable benefits to society. Funding Information: This work was funded by the Ocean Colour Climate Change initiative of the European Space Agency (Grant Number 4000101437/10/I-LG). The proposed methodology is applied to the multi-mission Ocean Colour-Climate Change Initiative (OC-CCI) Chla data. Is your URD consistent with the needs of Climate Research Groups . Climate change disproportionately affects those who suffer from socioeconomic inequalities, including many people of color. timing, amplitude and duration of blooms) These considerations guided the algorithm selection process in the Ocean Colour Climate Change Initiative. •Source: Satellite data (Ocean Colour Climate Change Initiative) 3. The researchers started with the regionalization of the Red Sea basin utilizing eight-day climatological satellite composite images of CHL. Data sources and analysis Merged monthly Chl-a data from September 1997 to December 2019 (4-km spatial resolution) retrieved by multiple ocean colour sensors were acquired from the Ocean Colour-Climate Change Initiative (OC- CCI) project website (https://esa-oceancolour-cci.org/). The validation of the necessary high quality is extended beyond 2012 to 2015 the... Of global bio-optical in situ data for Ocean... < /a > Ocean! 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