In this study, five SM products, including one microwave remote sensing product – the European Space Agency's Climate Change Initiative (ESA CCI) – and four reanalysis data sets – European Centre … • High impact science both by project consortium and users of datasets It provides daily surface soil moisture with a spatial resolution of 0.25 degree. Soil Moisture data (version 04.4) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. ESA CCI Soil Moisture: Current Status and Future Direction REFERENCES ACKNOWLEDGEMENTS CONTACT 3 2 4 5Future Plans The ESA CCI SM product is generated through the inclusion of Level 2 soil moisture products for passive and active sensors, which are spatially and temporally resampled to 0.25 degrees and 00:00 UTC. Information about land covers (LC) provided by the ESA-CCI Land Cover Map product at a spatial resolution of 300 m was used. from all over the world and applications – Climate, hydrology, meteorology, carbon biodiversity researchers, etc. Central to the ESA CCI SM is a merging algorithm, which, The CCI supports over 450 scientists working in a myriad of institutes across ESA Member States to carry out the research and development the projects require. European Space Agency. ... TMI, and AMSR-E) and two active (ERS AMI and ASCAT) coarse resolution microwave sensors into a global data set spanning the period 1979–2010. ASCAT soil moisture: An assessment of the data quality and consistency with the ERS scatterometer heritage. 59, no. What is the Climate Monitoring Facility? The ESA CCI Soil moisture product has contributed to hundreds of hydrological and climatological studies worldwide, as well as the annual BAMS' " State of the Climate " reports. Annually algorithmically updated global climate data record of soil moisture spanning over 40 years. High Resolution CCI Soil Moisture Figure 8: Test sites of the high resolution soil moisture product. ESA CCI SM products have provided remotely-sensed surface soil moisture (SSM) content with the best spatial and temporal coverage thus far, although its output spatial resolution of 25 km is too coarse for many regional and local applications. ESA CCI SM products have provided remotely-sensed surface soil moisture (SSM) content with the best spatial and temporal coverage thus far, although its output spatial resolution of 25 km is too coarse for many regional and local applications. To date, the ESA CCI SM serves more than 6000 registered users, providing the basis for a host of scientific publications and data set applications (Dorigo et al.,2017). Besides the extended temporal coverage it now also includes the new sensors SMOS and MetOp-B ASCAT. The ESA CCI SM products consist of three surface soil moisture datasets: The ACTIVE … ESA CCI SM v04.4 comprises the three well-known active, passive and combined satellite soil moisture datasets. The ESA CCI Soil Moisture team is pleased to announce the latest update of the most comprehensive global time series of satellite based soil moisture. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896. It also impacts on the climate system through atmospheric feedbacks. The first soil moisture CDRs produced by the ESA CCI SM were released in 2012. The coarse spatial resolutions of satellite-based soil moisture (SM) products restrict their applications at smaller spatial scales. Evaluation of the ESA CCI soil moisture product using ground-based observations. The assessment is based on 213 catchments situated in different physiographic and climate zones of Austria. The European Space Agency Climate Change Initiative for soil moisture (ESA CCI SM) was initiated in 2012 for a period of six years, the objective for this period was to produce the most complete and consistent global soil moisture data record based on both active and passive sensors. ESA CCI microwave soil moisture. CMF is an interactive interface that facilitates the evaluation of the multi-year variability of various statistics computed from a variety of climate data records (CDRs). We provide a soil moisture patternrecognition framework to increase the spatial resolution and fill gaps ofthe ESA-CCI (European Space Agency Climate Change Initiative v4.5) soilmoisture dataset, which contains > 40 years of satellite soilmoisture global grids with a spatial resolution of ∼ 27 km. The Soil Moisture CCI project is a part of ESA’s Program on Global Monitoring of Essential Climate Variables (ECV), which was initiated in 2010 and produces an updated SSM product annually since 1978 ( Dorigo et al., 2017 ). Based on this, root zone soil moisture can be modelled. It provides daily surface soil moisture with a spatial resolution of 0.25 degree. The data set consists of three products: an active data set, a passive data set and a combined data set. It combines the soil moisture retrievals from four microwave radiometers (SMMR, SSM/I, TMI, and AMSR-E) and two scatterometers (AMI and ASCAT) into a 0.25° global daily data set over 30 … Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record, in IEEE Transactions on Geoscience and Remote Sensing, vol. A short summary of ESA CCI SM v03.2. Download scientific diagram | Satellite ESA CCI soil moisture data resampled to 3 km resolution for the time period of 2000 to 2006 over EU-CORDEX. ESA CCI SM COMBINED v02.2 showed a skill in capturing wet and dry extreme events over Eastern Africa comparable to the Variable Infiltration Capacity model and the Noah LSM forced with precipitation from CHIRPS and the remaining meteorological input from MERRA (McNally et al., 2016), while ESA CCI SM COMBINED v02.1 showed a similar soil moisture … Products description. Furthermore, the three ESA CCI soil moisture products were given in different units. ENVISAT ASAR GM soil moisture for applications in Africa and Australia. The assimilation of satellite soil moisture (SM) products with coarse resolution is promising in improving rainfall-runoff modeling, but it is largely impacted by the data assimilation (DA) strategy. These long-term soil moisture products assist in understanding the global water and carbon cycles. Both ascending and descending overpasses were used for the ECV_SM production and the … The ESA CCI Soil moisture product has contributed to hundreds of hydrological and climatological studies worldwide, as … The LC classification system from ESA-CCI includes 24 vegetation types. Based on this, root zone soil moisture can be modelled. The ACTIVE and PASSIVE products have been created by fusing scatterometer and radiometer soil moisture products respectively. The Soil Moisture CCI project is part of the ESA Programme on Global Monitoring of Essential Climate Variables (ECV), better known as the Climate Change Initiative (CCI), initiated in 2010 and producing an updated soil moisture product every year. ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin June 2018 Advances in Meteorology 2018(205–223):1-13 These long-term soil moisture products assist in understanding the global water and carbon cycles. The surface soil moisture data (volumetric absolute values) from 2013–2019 were 2.2.2. The ESA CCI soil moisture data are a merged multisatellite surface soil moisture product developed in the Climate Change Initiative (CCI) by the European Space Agency (ESA). It harmonises and merges soil moisture retrievals from multiple satellites into (i) an active … The first soil moisture CDRs produced by the ESA CCI SM were released in 2012. • Inclusion of day time observations with the goal to produce a sub-daily product (Fig. correct for. 1978-2010) Spatial resolution (e.g. Abstract The recent launch of the Sentinel-1 A and Sentinel-1B synthetic aperture radar (SAR) satellite constellation has provided high-quality SAR data with fine spatial and temporal sampling characterizations (6˜12 revisit days at 10 m spatial resolution). daily) The European Space Agency's Climate Change Initiative (ESA CCI) soil moisture could provide long-time microwave-retrieved soil moisture data but is limited to regional applications due to the low resolution (25 km). 2. ESA CCI surface soil moisture data. Estimates of soil moisture are computed using the WARP 5.2 change detection method (Naeimi et al., 2009, Wagner et al., 1999) which provides a soil moisture fraction between completely dry conditions (0%) and full saturation (100%) for the topmost centimetres of the soil. The multisatellite-retrieved soil moisture (SM) products released by the Europe Space Agency's Climate Change Initiative (ESA CCI) program have been widely used in numerous fields, including drought monitoring. Root-zone CCI Soil Moisture Figure 7: Root zone soil moisture as calculated by ISBA assimilating ESA CCI SM v6.1 and CGLS LAI v2 on 12 Dec 2019. Conclusions & Outlook ! As soon as the satellite data has been transferred from the satellite to the ground segments, processing needs about an hour before this data is … 0.25°) Temporal resolution (e.g. This seamless observation is a clear advantage compared to point based in-situ measurements, and recent developments allow to obtain also high-resolution satellite soil moisture observations. A short summary of ESA CCI SM v04.7 Input data products 11 active and passive microwave L2 products L-, C-, X-, Ku-band Resolution: ~25-100 km Revisit time: 1-7 days v04.7 is the latest publicly available ESA CCI SM dataset spanning the period 1978-2019 Merged ESA CCI Soil Moisture 0.25° resolution Daily product The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. A Product Specification Document (PSD) provides amongst others the following information for each of the three ECV soil moisture products (active-only, passive-only, merged active-passive): Product name; Version number; Spatial domain (global) Temporal domain (e.g. The ESA’s CCI monitors a suite of Essential Climate Variables (ECV), one of which is soil moisture. One main limitation of the ESA CCI soil moisture data set is the limited soil depth at which the moisture content is represented. The European Space Agency (ESA) Climate Change Initiative (CCI) project combines multi-sensors at different microwave frequencies to derive three harmonized soil moisture products using active, passive and combined approaches. Merged ESA CCI Soil Moisture 0.25° resolution Daily product Period 1978-2019 (PASSIVE and COMBINED), 1991-2019 (ACTIVE) 2/7. CCI SM products completely independent of land surface model estimates (currently GLDAS -Noah is being used as scaling reference ) -> currently testing whether SMOS can provide the climatology Root-zone soil moisture product from CCI SM Improved flagging of frozen soils, water bodies Using inhomogeneity testing to detect and . (a) … It is otherwise similar to the previous version v04.4, merging all active and passive L2 products directly to generate the COMBINED product (previously, this was created from the … breaks communities (Dorigo et al.,2017). This latest release (v04.5) extends the ACTIVE, PASSIVE and COMBINED CCI Soil Moisture product datasets for additional 6 months, providing global soil moisture data up to 31-12-2018. To examine whether the rescaling of the ESA CCI SM data to model resolution may introduce biases in the data, we compared the original 0.25 ∘ against 0.0275 ∘ ESA CCI soil moisture. These different units result from the retrieval algorithms applied to the passive and active microwave data. Soil moisture is a source of water for evapotranspiration over the continents, and is involved in both the water and the energy cycles. communities (Dorigo et al.,2017). This global ECV soil moisture data set has been generated using active and passive microwave spaceborne instruments and covers the 38 year period from 1978 to 2016. This product, named ESA CCI SM, combines various single-sensor active and passive microwave soil moisture products into three harmonised products: a merged ACTIVE, a merged PASSIVE, and a COMBINED active + passive microwave product. The European Space Agency (ESA) Climate Change Initiative (CCI) project combines multi-sensors at different microwave frequencies to derive three harmonized soil moisture products using active, passive and combined approaches. First, the soil and vegetation component … 1978-2010) Input data products 7 passive radiometer L2 products (LPRM) 4 active scatterometer L2 products (TU Wien) L-, C-, X-, Ku-band Resolution: ~25-100 km Revisit time: 1-7 days → Merged ESA CCI soil moisture 0.25° resolution Daily product Period 1978-2016 Read more » This latest release (v04.5) extends the ACTIVE, PASSIVE and COMBINED CCI Soil Moisture product datasets for additional 6 months, providing global soil moisture data up to 31-12-2018. Frequently Asked Questions about the Service How soon after observation is data available with the Near-Real-Time service? Soil moisture (SM) plays a critical role in the water and energy cycles of the Earth system; consequently, a long-term SM product with high quality is urgently needed. Soil moisture influences hydrological and agricultural processes, runoff generation, drought development and many other processes. This seamless observation is a clear advantage compared to point based in-situ measurements, and recent developments allow to obtain also high-resolution satellite soil moisture observations. When combined with high-resolution optical remote sensing, this data can potentially be used for high-resolution soil … This study performs the assimilation of a satellite soil moisture product from the European Space Agency (ESA) Climate Change Initiative (CCI) in a physically based semidistributed hydrological model (SWAT) in the upper Huai River basin in China, with the objective to improve its rainfall-runoff simulation. First, the soil and vegetation component … In the third step, selected ESA CCI soil moisture observations (resolution 25 km) were assimilated into CLM using the Ensemble Kalman filter to generate the 3 km ESSMREA dataset. In this article, a cumulative distribution function is applied to match the simulated SM from the Variable Infiltration Capacity (VIC) model and fill in the missing … A new method of downscaling ESA CCI soil moisture to 1 km is presented in this study. These datasets are then scaled (if required) to ensure they are within the same range as one another. The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) merging algorithm generates consistent quality-controlled long-term (1978–2018) climate data records for soil moisture, which serves thousands of scientists and data users worldwide. Only small differences between the two resolutions were visible, particularly for the time period of 2003–2006 (Fig. CCI SM products completely independent of land surface model estimates (currently GLDAS -Noah is being used as scaling reference ) -> currently testing whether SMOS can provide the climatology Root-zone soil moisture product from CCI SM Improved flagging of frozen soils, water bodies Using inhomogeneity testing to detect and . Abstract. A short summary of ESA CCI SM v04.7 Merging scheme of the ESA CCI SM v4 algorithm Direct merging of Level 2 … The combined and passive products were denoted by volumetric soil moisture (m 3 /m 3), while the active product is given by saturation degree (%). These datasets are then … The downscaling methodology presented in this paper improves ESA CCI SM spatial resolution to 1 km using two-step approach. A new method of downscaling ESA CCI soil moisture to 1 km is presented in this study. New Downscaling Approach Using ESA CCI SM Products for Obtaining High Resolution Surface Soil Moisture Author: Kovačević, Jovan, Cvijetinović, Željko, Stančić, Nikola, Brodić, Nenad, Mihajlović, Dragan Source: Remote Sensing 2020 v.12 no.7 ISSN: 2072-4292 Subject: To date, the ESA CCI SM serves more than 6000 registered users, providing the basis for a host of scientific publications and data set applications (Dorigo et al.,2017). The ESA CCI SM algorithm generates consistent, quality-controlled, long-term (1978-2019) soil moisture climate data records by harmonising and merging soil moisture retrievals from multiple satellites into an active-microwave-based only (ACTIVE), a passive-microwave-based only (PASSIVE) and combined active-passive (COMBINED) product. 5)• first soil moisture CDRs produced by the ESA CCI SM were released in 2012. CCI soil moisture is a success story • Fills a gap between short-term single mission products and need for long-term datasets • Large user community (>1300 users!) Journal of Hydrometeorology, 10: 555-563 6 Bartsch A, M Doubkova & W Wagner, 2009. S5). If you are interested in previous product versions, please send us a request at ESA CCI and C3S Soil Moisture - Recent advances and quality assurance based on the online validation platform QA4SM Tracy Scanlon (1), Wouter Dorigo (1), Doris Baum (2), Wolfgang Preimesberger (1), Philip Buttinger (1), Zoltan ... as the validation of high resolution (1 … Abstract. Abstract. The ESA CCI SM product is generated through the inclusion of Level 2 soil moisture products for passive and active sensors, which are spatially and temporally resampled to 0.25 degrees and 00:00 UTC. … Soil moisture is key for understandingsoil–plant–atmosphere interactions. Moisture Data 10.1016/J.JHYDROL.2021.126138 This was corroborated by volumetric-soil-moisture data, that showed that a perched zone of saturation developed at 30 cm at the time of peak storm runoff during the largest events and lasted for the remaining duration of the event. Maps were updated on an annual basis. The CCI-SMv02.1 is available from 1979 to 2013 at 0.25° spatial resolution and daily temporal resolution, which we aggregated over the rainy season (March–September) and 3-month time-steps. Central to the ESA CCI SM is a merging algorithm, which, In this study, the monthly European Space Agency Climate Change Initiative SM data (ESA CCI SM) from 2000 to 2016 was downscaled from 25- to 1-km resolution in the Taihu Lake Basin, a typical humid area with complex terrain and land uses. Futher Information. Meteorological sourced from the soilDatamoisture project of the European Space Agency’s (ESA) Climate Change Daily surface(CCI) Initiative meteorological data for [31]. Recent improvements to the CMF have seen the inclusion of Soil Moisture and Sea Surface Temperature CCI datasets. 4, pp. correct for. A unique > 40-year long soil moisture data set, version 6.1, has been generated in the framework of the ESA-CCI Soil Moisture ECV projects. Description. The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) merging algorithm generates consistent quality-controlled long … The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. A Product Specification Document (PSD) provides amongst others the following information for each of the three ECV soil moisture products (active-only, passive-only, merged active-passive): Temporal domain (e.g. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The European Space Agency's Climate Change Initiative (ESA CCI) soil moisture could provide long-time microwave-retrieved soil moisture data but is limited to regional applications due to the low resolution (25 km). Since 2010, the European Space Agency Climate Change Initiative (ESA CCI) has integrated active (ERS-1/2 SCAT , MetOp ASCAT [15,16]) and passive (SMMR , SSM/I , TMI , AMSR-E , WindSat , AMSR2 and SMOS ) microwave sensors to develop a global long-term (37–39 years) soil moisture product [23,24,25,26,27], which significantly benefits research into global … A post-doctoral fellowship scheme supports early-career scientists to undertake research into the changing Earth system, exploiting the CCI data products in the process. The model parameters are calibrated to daily runoff, satellite soil moisture (Advanced Scatterometer – ASCAT), and snow cover (Moderate Resolution Imaging Spectroradiometer – MODIS) data. breaks To date the ESA CCI SM serves more than 5000 registered users, providing the basis for a host of scientific publications and data set applications (Dorigo et al., 2017).

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