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WP1.2: “Developing gridded datasets based on long-term remote sensing data (DWD)” MOHC (results to be used in WP3): max and min surface air temperature products based on satellite & in situ data to be made available along side the gridded air temperature datasets based on surface observations alone. sunshine duration product based on satellite data. Both products use 15-min geostationary satellite observations from SEVIRI/Meteosat. Spatial resolution of data is a few km (depends on latitude/longitude) Can provide detailed spatial information that could be used to improve existing station-only grids → e.g. use satellite as interpolator
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WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

Mar 27, 2015

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Claire Kennedy
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Page 1: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

WP1.2: “Developing gridded datasets based on long-term remote sensing data (DWD)”

• MOHC (results to be used in WP3): max and min surface air temperature products based on satellite

& in situ data to be made available along side the gridded air temperature datasets based on surface observations alone.

sunshine duration product based on satellite data.

• Both products use 15-min geostationary satellite observations from SEVIRI/Meteosat.

• Spatial resolution of data is a few km (depends on latitude/longitude)

• Can provide detailed spatial information that could be used to improve existing station-only grids → e.g. use satellite as interpolator

Page 2: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

Satellite Tmax and Tmin• Derived from Land Surface Analysis Satellite

Applications Facility (LSA SAF) land surface temperatures (LST).

• Accuracy of daily satellite Tmax/Tmin is ~ 1-3 ºC.

SEVIRI Tmax estimate for 01 July 2009SYNOPS station Tmax 01 July 2009

Missing data = no retrieval possible (e.g. persistent cloud)

Page 3: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

Satellite Sunshine• Derived from Satellite Application Facility to support

NoWCasting and very-short-range forecasting (SAFNWC) cloud type data.

• Accuracy of daily satellite sunshine duration is better than 1-2 hours over the UK.

SEVIRI Sunshine estimate for 01 July 2008Location of UK sunshine stations

Page 4: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

WP2.1: OSTIA

Page 5: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

Rob Allan,Met Office Hadley Centre,

Exeter, Devon, United Kingdom

WP 1.1 & 1.3: The international ACRE initiative

QCCCEQCCCE

Page 6: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

What is ACRE?

• the Queensland Climate Change Centre of Excellence (QCCCE) in Australia

• the Met Office Hadley Centre in the UK

• the US National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory (ESRL) and Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado

ACRE is an international collaborative initiative led by a

consortium of:

Page 7: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

What is ACRE doing & aiming to produce?• Undertaking & facilitating the recovery of

millions of historical instrumental surface terrestrial & marine global weather observations

• to fuel successive 4D global weather reconstructions or reanalyses over the last 200-

250 years20th Century Reanalysis Project: 1891-2008 [Autumn 2009]20th Century Reanalysis Project: 1891-2008 [Autumn 2009]

20th Century Reanalysis Project: 1871-2008 [Autumn 2010] 20th Century Reanalysis Project: 1871-2008 [Autumn 2010]

Surface Input Reanalysis for Climate Applications (SIRCA): 1850-2011 [Autumn 2012]Surface Input Reanalysis for Climate Applications (SIRCA): 1850-2011 [Autumn 2012]

Chemical and Surface Input Reanalysis for Climate Applications (CSIRCA): 1800-2016 [Autumn Chemical and Surface Input Reanalysis for Climate Applications (CSIRCA): 1800-2016 [Autumn 2017]2017]

• for global climate research; climate applications, extremes, risks and impacts needs; educators &

students, & the general public

• via a web-based interface that will store, allow free access to, & enable visualisations of, the

raw data, data images, meta data through to all of the variables generated by the 4D global

weather reanalyses

Page 8: WP1.2: Developing gridded datasets based on long-term remote sensing data (DWD) MOHC (results to be used in WP3): max and min surface air temperature products.

Who else is involved internationally?With WMO, GEO, GCOS endorsement, wide international support & the aid

of various working groups of GCOS and WCRP, ACRE provides an umbrella

that links together some 30+ projects, data rescue & climate applications activities around the globe