Presentation on theme: "UEAs – strategic overview for EORO4M activities UEA (through) its activities within WP1 will provide updated/enhanced 0.5 x 0.5° gridded climate fields."— Presentation transcript:
UEAs – strategic overview for EORO4M activities UEA (through) its activities within WP1 will provide updated/enhanced 0.5 x 0.5° gridded climate fields (see later presentation for listing of these). These grids are for global land areas (minus Antarctic). The grids will complement the other similar observed and reanalysis outputs and will be used extensively within EURO4M. There will be inter- comparisons and mergers with other products. There are a few issues to consider here: We need to define a European window Is a resolution of 0.5 x 0.5° sufficient? – we could go to a finer resolution We could produce an enhanced version of the grids for Europe (involving more input observations) – but -> We need to decide whether to include all possible additional data in an enhanced run or is it better to use additional data resources for validation exercises?
Considerations for UEAs input to WP2.5 In conjunction with MO and those producing reanalysis output (ECMWF), UEA will work towards improved reanalysis products through improved input data (with respect to homogeneity and missing early data etc.). This will also involve the incorporation of additional observations – including those from high quality: Satellite and radio-sonde datasets Surface data (daily T + Pressure) There are a few questions at this point: To what degree can the improvement of reanalysis input data be confined to our European window of interest (to reduce the work load)? How do we best access the surface reanalysis input data? How will MO and UEA divide the work on this?
A reminder of the work package description for WP1 Objectives further develop station-based gridded datasets for Europe in its entirety and selected sub-regions assess the capacity of additional satellite-derived data for climate monitoring (linked to the EUMETSAT-SAFs), examining the parameters to be monitored, drawbacks and strengths of the methods and approaches used, the capacity for monitoring patterns of anomalies in time and across space, the capacity for trend analysis, and the capacity for the appropriate merging of satellite data with ground-truth (i.e. in situ based observations); provide gridded satellite-based datasets for ECVs, in particular those part of the energy-water cycle, such as water vapour, components of the radiation budget at the surface and cloud albedo; work with existing data recovery, rescue, imaging and digitisation activities to improve and temporally extend the ECV databases for the European region (linking with WG1 of the international ACRE initiative plus EuroCryoClim in the Arctic, EUMETNET-ECSN for Europe, and MEDARE for the Mediterranean), in order to coordinate and make accessible currently available historical climate data; conduct a comprehensive European climate data survey to identify the specific strengths and deficiencies in both the current atmospheric observation system and historical data availability (linking with WG1 of the international ACRE initiative), focusing on the GCOS ECVs; foster coordinated approaches to standards-based data management across climate-related data centres, including developing best-practice approaches for metadata, data, and services. Sub-WPs (with lead beneficiary in brackets) WP1.1Developing gridded datasets based on long-term station series (MS) WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) WP1.3: Data coordination and access to national archives (URV)
EURO4M MeteoSwiss Contribution to WP1.1 ( Developing gridded datasets based on long-term station series )
MeteoSwiss Contribution to WP1 Update APD for recent years Enhance station density in sparse areas / periods Develop and employ data quality procedures Frei & Schär 1998, Frei et al. 2006 Alpine Precipitation Dataset (APD) 6800 rain gauges from 14 institutions 1971-1995 daily ~ 1 stat per 100 km 2
MeteoSwiss Contribution to WP1 mm Flooding August 2005 (1-day total 22.8.) Develop / apply statistical gridding for km-scale in complex terrain Quantify uncertainties, possibly by ensemble gridding Analyse decadal variations of heavy events. High-resolution Precipitation Analysis for the Alps 2 x 2 km grid spacing daily, 1971-2009 resolving major floods of the past 40 years
Annual average precipitation amount derived by blending GPCC with HOAPS-3. DWD will generate a blend of HOAPS-4 and GPCC, which will comprise 20y of global precipitation over land (GPCC) and ocean (HOAPS).
WP1 : Météo-France contribution DClim (Direction de la Climatogie) – Service in charge of the climatological data including the database, quality control, monitoring of the climate, climatological products, R&D studies. – P.I : Anne-Laure Gibelin Provide regional datasets for the project Development and improvement of the control procedures to provide additional information about data quality: – time and spatial consistency – inter parameter consistency – focus on the control of precipitation dataset (rain gauge) by using radars and/or additional data – look at the possibility to apply the same quality control procedures for all datasets in the project Strong experience in Data Rescue and homogenization activities.
0.5 x 0.5° resolution monthly gridded fields from observed data CRU will update the latest version of the 0.5 x 0.5° global time- series grids for pre, wet, dtr, vap, tmp, tmn, tmx and cld. These add to the pool of surface observed and reanalysis resources which will be used extensively within EURO4M. Further updates will be real time. Added to the above variables will be pet (potential evapotranspiration) and PDSI (Palmer drought severity index). For a flow diagram showing the processes towards the updating of the 0.5° grids, see next slide. CRU will produce an update paper for Mitchell and Jones (2005). We will likely have to make all the software and all data available BUT we will not be providing a help desk for outside interests to get their package to work.
EURO4M DWD Contribution to WP1.2 (Developing gridded datasets based on long-term remote sensing data)
CM-SAF will contribute raster data of ECVs to EURO4M. Parts of the gridded data are derived by data fusion of in-situ measurements, satellite observations and re-analysis data. This approach will keep the benefits of the individual data sources and will minimize the drawbacks of each individual data set. Two examples: 1. Data fusion of GPCC in-situ based precipitation over land with HOAPS satellite based precipitation over ocean. GPCC is not available over water, HOAPs is not available over land. 2. Data fusion of ERA thermal surface radiation budged with satellite based surface solar radiation budget in order to provide a best of product. Re-analysis is accurate in the thermal region but the satellite based data has a higher accuracy in the solar spetrum.
Example (monthly mean) of the surface radiation budget gained by combination of satellite based data and NWP analysis data (here GME).
CM-SAF will also provide stand-alone satellite based data which is only observable from space, e.g.. - Top of atmosphere albedo - Cloud albedo & other cloud parameter. Example of the reflected solar irradiance at the top of atmosphere. Monthly mean, June 2008.
CM-SAF will also provide stand-alone satellite based data which is only Observable from space, e.g. - Top of atmosphere albedo - Cloud albedo & other cloud parameter ! 10 year mean of monthly mean cloud albedo for June.
CM-SAF will also provide raster for climate protection applications. E.g. solar surface irradiance, which is needed for a efficient planning and design of solar energy systems. Transparent solar cell and traditional PV system. Example of a solar surface irradiance map used for solar energy potential studies and Planning of PV systems.
KNMI work plan WP1.2 Preparation of datasets (D1.10) –Cloud Properties –Surface Solar Irradiance (SSI) –Precipitation Validation –SSI: comparison with BSRN stations –Precipitation: comparison with weather radar or rain gauge Application –Research interpolation & downscaling methods for in-situ obs. –Develop merged products SSI climatology Europe Daily precipitation product from MSG, using information on the mean diurnal cycle from rain gauge or weather radar obs. Annual average SSI (W/m2)
EURO4M URV Contribution to WP1.3 (Data coordination and access to national archives)
Vision for WP1.3 on Data coordination and access to national archives: According to the deliverables and milestone deadlines related to WP1.3 the following activities are envisaged and URV has already started to work with: On D1.14 Proposal for additional data rescue activities required for data that have not yet been digitised. Deadline: Month 12. Task 1: Inventorying sensible climate data for temperature, precipitation and air pressure recorded at north and eastern Mediterranean stations held at different sources: 1.1. The Ebro Observatory Library (Jesuit holdings): Already undertaken. Potential for data rescue (both fulfilling in gaps and extending back in time temp, precip and pressure records) over Morocco (1 station), Algeria (7 stations), Tunisia (1 station), Egypt (3 stations), Lebanon (1 station), Palestine (1 station), Syria (1 station) 1.2. Italian Met Service: Already undertaken. Potential for data rescue (both fulfilling in gaps and extending back in time temp, precip and pressure records): Libya (23 stations including Tripoli) 1.3. ISPD: Already undertaken. Potential for data rescue (both fulfilling in gaps and extending back in time air pressure only): Morocco (8 stations), Algeria (21 stations), Tunisia (6 stations), Libya (12 stations), Egypt (19 stations), Turkey (22 stations), Palestine (2 stations), Lebanon (3 stations), Syria (1 station), Jordan (1 station), Cyprus (6 stations). Task 2: Identifying already available data both in paper and digital format from global (NCDC/CDMP), regional centres (ECAC, ECSN) and national holders (through MEDARE Initiative). Initiated and to undertake during the first month of EURO4M. Task 3: Selecting the network and records to fill in gaps and extend back in time for the Mediterranean targeted regions. Projected to be carried out during the second month of EURO4M. On D1.12 Update and gap-filling of pressure, temperature and precipitation data for the Mediterranean (Month 30) Task 1: To compile already available temperature, precipitation and air pressure digital records through exploring data availability and accessibility from regional and national data centres (by means of MEDARE and MedCLIVAR contacts) and EU- and national-funded research projects (e.g. ENSEMBLES, CIRCE). Projected till month 6 Task 2: Elaboration of an inventory with data and sources details of the available and accessible digitalised records in the different centres previously explored. Projected month 12. Task 3: Data digitisation for filling in gaps and extending back in time of the identified long temperature, precipitation and pressure records over the Mediterranean. Projected till month 18. On D1.13 Merged climate dataset for the Mediterranean: Month 36 Task 1: Standardising formats of the data collated, fulfilled in gasps or extended back. Projected for months 19-20. Task 2: Quality control (QC) of the collected raw data. Formulation of new tailored QC tests dor the different variables. Projected for months 21-23. Task 3: Undertake data homogenisation by means of the tests recommended by the COST Action HOME applied to the different variables. Projected from month 24 till 30.
Proposed contributions to WP1 - NMA-RO (Bucharest) WP1 Deliverables gridded high-resolution daily precipitation dataset for the Alpine region and analysis of daily to decadal precipitation variations (D1.1, M1.1, D1.2); European window of the GPCC dataset available for the EURO4M (D1.3); extended and updated ENSEMBLES gridded daily dataset for Europe (D1.4, M1.2, D1.5); –NMA-RO will provide some of its own data –NMA-RO will carry out quality control procedures and homogenization related activities in collaboration with other participants as needed new UEA/CRU data products for Potential Evapotranspiration (PET) and PDSI (D1.6) –PET and PDSI for South-Eastern Europe PDSI data already available for Romanian territory (1961-2005) –113 time series from national meteorological network PET data already available for Romanian territory (1961-2000): –61 time series from national meteorological network Future scientific collaboration with colleagues from Moldova, Hungary, Serbia, Bulgaria, Croatia to compute and analyze PET and PDSI in the region. Connection with Drought Management Centre for SouthEastern Europe (Romania is a founding country; founding agencies –WMO, UNCCD) new satellite-based gridded datasets based on MVIRI (D1.7, M1.3, D1.8), MSG (D1.9, D1.10), Land-SAF (D1.11); Datasets for the Mediterranean (D1.12, D1.13, M1.4); –Connection with MEDARE (NMA-RO is present in all MEDARE WPs) proposal for additional data rescue activities required (D1.14). On-going NMA-RO activities: e.g. h ail data; sub-daily precipitation data (20 stations 1961-2007), data rescue for Bucharest former stations PET annual mean (1961-2001) PDSI tendencies (1961-2005)
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