EVALUATION OF MERIS AEROSOL PRODUCTS FOR NATIONAL AND REGIONAL AIR QUALITY IN AUSTRIA
|
|
- Egbert Goodman
- 5 years ago
- Views:
Transcription
1 EVALUATION OF MERIS AEROSOL PRODUCTS FOR NATIONAL AND REGIONAL AIR QUALITY IN AUSTRIA Robert Höller (1),*, Christian Nagl (1), Herbert Haubold (1), Ludovic Bourg (2), Odile Fanton d Andon (2), and Philippe Garnesson (2) (1) Umweltbundesamt, Spittelauer Lände 5, 1090 Wien, Austria (2) ACRI-ST, 260, route du Pin Montard - B.P. 234,06904 Sophia Antipolis Cedex, France ABSTRACT/RESUME The Umweltbundesamt (Austrian Federal Environment Agency, FEA) is currently evaluating the potential of satellite data for assessing national and regional air quality. Within the framework of the GSE project PROMOTE, Service Level Agreements (SLA) were signed between the Umweltbundesamt and various data providers. In this paper, the ESA standard MERIS aerosol product, provided by ACRI-ST in near-real time, is evaluated. Data are also provided temporally aggregated for air quality reporting. In this paper, we present a first evaluation of ENVISAT/MERIS aerosol products during the period March to August 2005 and comparisons to data from the in-situ ground based monitoring network. 1 INTRODUCTION The situation of the air quality in Austria improved quite strongly in the last decades in Austria. Concentrations of most classic air pollutants were continuously reduced, and per capita emissions of SO 2 and NO x are among the lowest of all EU member states. Pollution levels are generally lower than the limit values for lead, benzene, and CO. SO 2 exceedances are rare and usually caused by transboundary air pollution. Nevertheless, limit values for PM10 concentrations (50 µg m -3 daily average not to be exceeded more than 35 times per year; 40 µg m -3 yearly average) are frequently exceeded in agglomerations (Figure 1), but exceedances are measured in nearly all regions of Austria, particularly in the north-eastern part of the country, Alpine valleys and basins. Statistical analyses of back trajectories showed that a considerable amount of the total PM10 levels in the eastern part of Austria is caused by long-range transport, but also local sources add substantially to PM10 levels. Due to its geographic situation Austria is, therefore, strongly affected by local, regional, and long-range air pollution. Therefore, the FEA supports further emission reduction strategies on a national and international level [1]. The legal framework for monitoring air quality in Austria are the Austrian air quality protection act, ozone act, clean air *Corresponding author. Tel.: , Fax.: ; robert.hoeller@umweltbundesamt.at
2 act for steam boilers, as well as international obligations, such as the EC Air Quality Framework Directive and DD, and the UNECE Convention of Long-Range Transboundary Air Pollution (CLRTAP) [2]. Figure 2 shows the air quality monitoring sites in Austria that are operated by the FEA. The total number of sites in Austria, including the sites operated by the Federal Provinces, already exceeded 90 in For an analysis of long-term trends, unfortunately only TSP measurements exist, monitoring of PM10 did not start until More recently, sites measuring PM2.5 are added to the monitoring network. Fig. 1. Number of days with daily average concentrations of PM10 higher than 50 µg m-3 [1]. Fig. 2. Air quality monitoring sites in Austria operated by the Umweltbundesamt [1].
3 For an analysis of the state of the atmosphere over Austria, besides the legally required monitoring and analysis methods, the FEA is currently also evaluation the potential of satellite remote sensing and modelling methods. Within the framework of the GEMS Service Element (GSE) project PROMOTE [3], several data products are evaluated and, if necessary and possible, optimized to the user s requirements. The mission of PROMOTE is to deliver the Atmosphere GMES Service Element by constructing and delivering a sustainable and reliable operational service to support informed decisions on atmospheric policy issues. The aim is an incremental enhancement of services during the lifetime of the project. 2 MERIS DATA MERIS aerosol data are delivered to FEA within a Service Level Agreement signed with ACRI-ST in the framework of PROMOTE [3]. The service lasts for the period of the project, with a continuous delivery of near real-time (NRT) aerosol products, that is, the aerosol optical thickness (AOT) and the Ångstöm exponent, as well as RGB images of the same area. The time delay between data acquisition by the satellite and the delivery of the aerosol product and the RGBs is presently about one day. Part of the SLA is also access to archive data (2003 and 2004), assistance to exploit the data products, and the production of monthly, seasonal, and yearly average maps. The resolution of the aerosol product is 1 km, with a latitude coverage of 44N - 50N, and a longitude coverage of 8E - 20E. A detailed description of the standard MERIS aerosol algorithm is given in Santer et al. [4] and the MERIS aerosol algorithm ATBD [5, 6]. 3 RESULTS Fig. 3. Example image of the aerosol optical thickness over Austria and surroundings on July 30, 2005.
4 Figure 3 shows an example of the aerosol optical thickness over Austria and surrounding on July 30, Typically, only for part of the area data is available, which is due to the coverage of the MERIS sensor. Also, the data only give a snapshot of the aerosol at the time of the overpass of the satellite. It can be well recognized in this image that the aerosol concentration is higher in valleys with lower altitude. A slightly higher AOT can also be recognized in the south-east of Austria. Cloudy areas are screened out, but it is clear that the cloud-screening algorithm still needs to be improved due to the high aerosol concentrations in the vicinity of clouds. Fig. 4. Monthly mean of the aerosol optical thickness during March Fig. 5. Monthly mean of the aerosol optical thickness during August 2005.
5 Figures 4 and 5 show average of the AOT during spring (March 2005) and summer (August 2005) over Austria and surroundings. In Figure 4 it can be seen that even in a monthly average image, no full coverage of the area can be achieved during spring. During winter (not shown here), the situation is even worse due to frequent cloud coverage and due to the fact that the dark-target method of the MERIS algorithm cannot retrieve data over highly reflecting surfaces such as snow and ice. It has to be mentioned that also for areas were data are available, only a small number of measurements (up to 8) are made for one pixel. Therefore, the monthly average value is calculated from a much smaller number of measurements than the values that are retrieved from ground in-situ stations, that measure the aerosol concentration every hour during the day and night time During summer, nearly full coverage of the area can be achieved, except for some high mountainous regions (Figure 5). For one pixel, up to 15 measurements per month are achieved with fewer measurements in areas with frequent cloud coverage. The clearly visible higher AOT in the southeastern part of Austria and over Slovenia might be an artefact due to cloud contamination, but could also be due to higher emissions in this area. Therefore, data for this period have to be investigated into more detail. Several groups already performed comparisons of AOT data from satellite measurements with ground-based PM data [7, 8, 9]. Here, for a comparison with ground-based data of PM10 measurements three background sites in Austria were chosen, that is, Pillersdorf, Illmitz, and Enzenkirchen. All of these sites are only slightly influenced by local air pollution. Figure 6 shows the PM10 concentrations (blue line) measured at Pillersdorf in the northeastern part of Austria, near to the Czech border (see Figure 2). Also shown are the retrieved AOT values from the MERIS aerosol product. The two datasets compare reasonable good, but the amount of data is still to small to make a more detailed assessment. It is planned to use archived data from the years 2003 and 2004 for a long-term comparison. Also, PM2.5 data will be used for sites where these are available. Pillersdorf 80 3 mass concentration (µg m-3) ,5 2 1,5 1 0,5 AOT Fig. 6. Comparison of PM10 concentrations and aerosol optical thickness values (AOT) for the site Pillersdorf between February and August 2005.
6 4 CONCLUSIONS From this preliminary evaluation of the ENVISAT/MERIS aerosol product, several lessons could be learnt. Disadvantages of MERIS aerosol data for air quality monitoring are missing data for cloudy pixels, and the low temporal frequency of data compared to ground-based data. Also, the dark-target approach of the MERIS aerosols algorithm does not provide aerosol information above high reflecting surfaces such as snow and ice, which limits the usefulness of data in the winter period, during which usually the highest PM10 levels are observed. Moreover, compared to ground-based measurements, the diurnal variability of the aerosol concentration is not covered. The advantage of satellite data compared to the operational in-situ monitoring network clearly is the wide spatial coverage of data. Especially in a country with a complex topography such as Austria, this could provide valuable additional information for areas where no ground-based monitoring stations exist. Satellite data can also give valuable information about long-range transport of pollution, and a synoptic view of the area of interest. One possible solution to the undersampling might be the future use of data from geostationary satellites, possible combined with data from data from sensors on LEO satellites to achieve higher accuracy. 5 ACKNOWLEDGEMENTS This work was financially supported by the ESA GSE Project PROMOTE. 6 REFERENCES 1. Schneider, J., et al. (Umweltbundesamt, Ed.), Schwebestaub in Österreich, pp. 410, 2005 (in German). 2. State of the Environment in Austria (Umweltbundesamt, Ed.), Vol. 7, pp. 472, PROMOTE webpage: 4. Santer, R., V. Carrere, P. Dubuisson, and J. C. Roger, Atmospheric corrections over land for MERIS, Int. J. of Rem. Sens., 20, , Santer, R, Carrere, V., Dessailly, D., Dubuisson, P., and J.-C. Roger, MERIS Algorithm theoretical basis document, ATBD 2.15, Atmospheric corrections over land. 6. Ramon, D., and R. Santer, MERIS Algorithm theoretical basis document, ATBD 2.19, Atmospheric corrections over land: correction of directional effects over DDV. 7. Chu, D. A., et al., Global monitoring of air pollution over land from the Earth Observing System Terra Moderate Resolution Imaging Spectroradiometer (MODIS), J. Geophys. Res., 108(D21), 4661, doi: /2002JD003179, Engel-Cox, J. A., R. A. Hoff, and A. D. J. Haymet, Recommendations on the use of satellite remote-sensing data for urban air quality, J. Air & Waste Manage. Assoc., 54, , Hutchison, K.D., Smith, S., and S. J. Faruqui, Correlating MODIS aerosol optical thickness data ground-based PM2.5 observations across Texas for use real-time air quality prediction system, Atmos. Environ., 39, , 2005.
FIRST VALIDATION OF MERIS AEROSOL PRODUCT OVER LAND
ABSTRACT FIRST VALIDATION OF MERIS AEROSOL PRODUCT OVER LAND Didier Ramon (1), Richard Santer (2), Jerôme Vidot (2) 1. HYGEOS, 191 rue N. Appert, 59650 Villeneuve d Ascq, France, dr@hygeos.com 2. Université
More informationSatellite-based Lake Surface Temperature (LST) Homa Kheyrollah Pour Claude Duguay
Satellite-based Lake Surface Temperature (LST) Homa Kheyrollah Pour Claude Duguay Lakes in NWP models Interaction of the atmosphere and underlying layer is the most important issue in climate modeling
More informationAEROSOL RETRIEVAL AND ATMOSPHERIC CORRECTION FOR MERIS DATA OVER LAKES
AEROSOL RETRIEVAL AND ATMOSPHERIC CORRECTION FOR MERIS DATA OVER LAKES Dana Floricioiu, Helmut Rott Institute of Meteorology and Geophysics, University of Innsbruck, Innrain, A-6 Innsbruck, Austria. Email:
More informationAtmospheric correction in presence of sun glint: the POLYMER Algorithm
Atmospheric correction in presence of sun glint: the POLYMER Algorithm Dominique Jolivet François Steinmetz Pierre-Yves Deschamps Jan 17, 2011 Atelier National Couleur de l'eau - GIS COOC c 2011 Atmospheric
More informationThe Climatology of Clouds using surface observations. S.G. Warren and C.J. Hahn Encyclopedia of Atmospheric Sciences.
The Climatology of Clouds using surface observations S.G. Warren and C.J. Hahn Encyclopedia of Atmospheric Sciences Gill-Ran Jeong Cloud Climatology The time-averaged geographical distribution of cloud
More informationAerosol Optical Depth Variation over European Region during the Last Fourteen Years
Aerosol Optical Depth Variation over European Region during the Last Fourteen Years Shefali Singh M.Tech. Student in Computer Science and Engineering at Meerut Institute of Engineering and Technology,
More informationA HIGH RESOLUTION EUROPEAN CLOUD CLIMATOLOGY FROM 15 YEARS OF NOAA/AVHRR DATA
A HIGH RESOLUTION EUROPEAN CLOUD CLIMATOLOGY FROM 15 YEARS OF NOAA/AVHRR DATA R. Meerkötter 1, G. Gesell 2, V. Grewe 1, C. König 1, S. Lohmann 1, H. Mannstein 1 Deutsches Zentrum für Luft- und Raumfahrt
More informationMSG/SEVIRI AND METOP/AVHRR SNOW EXTENT PRODUCTS IN H-SAF
MSG/SEVIRI AND METOP/AVHRR SNOW EXTENT PRODUCTS IN H-SAF Niilo Siljamo, Otto Hyvärinen Finnish Meteorological Institute, Erik Palménin aukio 1, Helsinki, Finland Abstract Weather and meteorological processes
More informationVALIDATION OF AEROSOL OPTICAL THICKNESS RETRIEVED BY BAER (BEMEN AEROSOL RETRIEVAL) IN THE MEDITERRANEAN AREA
VALIDATION OF AEROSOL OPTICAL THICKNESS RETRIEVED BY BAER (BEMEN AEROSOL RETRIEVAL) IN THE MEDITERRANEAN AREA Wolfgang von Hoyningen-Huene (1), Alexander Kokhanovsky (1), John P. Burrows (1), Maria Sfakianaki
More informationCurrent Application of Vicarious Calibration for Geostationary Ocean Color Imager (GOCI) DATA
Current Application of Vicarious Calibration for Geostationary Ocean Color Imager (GOCI) DATA On behalf of Jae-Hyun Ahn & Young-je Park, Seongick CHO(Secondment at Astrium SAS, France) Korea Ocean Satellite
More informationVALIDATION RESULTS OF THE OPERATIONAL LSA-SAF SNOW COVER MAPPING
VALIDATION RESULTS OF THE OPERATIONAL LSA-SAF SNOW COVER MAPPING Niilo Siljamo, Otto Hyvärinen Finnish Meteorological Institute, Erik Palménin aukio 1, P.O.Box 503, FI-00101 HELSINKI Abstract Hydrological
More informationGLAS Team Member Quarterly Report
GLAS Team Member Quarterly Report Thomas A. Herring, Katherine J. Quinn, An Nguyen, Monchaya Piboon Massachusetts Institute of Technology Period: 4/1/2002 to 6/30/2002 Options for Estimating Multiple Scattering
More informationASSESSMENT OF PM2.5 RETRIEVALS USING A COMBINATION OF SATELLITE AOD AND WRF PBL HEIGHTS IN COMPARISON TO WRF/CMAQ BIAS CORRECTED OUTPUTS
Presented at the 2 th Annual CMAS Conference, Chapel Hill, NC, October 28-3, 23 ASSESSMENT OF PM2.5 RETRIEVALS USING A COMBINATION OF SATELLITE AOD AND WRF PBL HEIGHTS IN COMPARISON TO WRF/CMAQ BIAS CORRECTED
More informationMODIS-BASED INVESTIGATIONS ON THE URBAN HEAT ISLANDS OF BUCHAREST (ROMANIA) AND PRAGUE (CZECH REPUBLIC)
MODIS-BASED INVESTIGATIONS ON THE URBAN HEAT ISLANDS OF BUCHAREST (ROMANIA) AND PRAGUE (CZECH REPUBLIC) Sorin Cheval*, Michal Žák***, Alexandru Dumitrescu*, Vít Květoň** *National Meteorological Administration,
More informationTOTAL COLUMN OZONE AND SOLAR UV-B ERYTHEMAL IRRADIANCE OVER KISHINEV, MOLDOVA
Global NEST Journal, Vol 8, No 3, pp 204-209, 2006 Copyright 2006 Global NEST Printed in Greece. All rights reserved TOTAL COLUMN OZONE AND SOLAR UV-B ERYTHEMAL IRRADIANCE OVER KISHINEV, MOLDOVA A.A. ACULININ
More informationCanadian Urban Environmental Health Research Consortium
DATA SET INFORMATION Data Set Title: Normalized Difference Vegetation Index (NDVI) MODIS Time Series Description: Theme Keywords: Place Keywords: Data preparation date: File Names File Type: Beginning
More informationSnow Cover Applications: Major Gaps in Current EO Measurement Capabilities
Snow Cover Applications: Major Gaps in Current EO Measurement Capabilities Thomas NAGLER ENVEO Environmental Earth Observation IT GmbH INNSBRUCK, AUSTRIA Polar and Snow Cover Applications User Requirements
More informationRemote sensing of snow at SYKE Sari Metsämäki
Remote sensing of snow at SYKE 2011-01-21 Sari Metsämäki Activities in different projects Snow extent product in ESA DUE-project GlobSnow Long term datasets (15-30 years) on Snow Extent (SE) and Snow Water
More informationC o p e r n i c u s L a n d M o n i t o r i n g S e r v i c e
C o p e r n i c u s L a n d M o n i t o r i n g S e r v i c e Integration into existing Snow and Ice Services and draft product specifications Annett BARTSCH b.geos Copernicus High Resolution Snow and
More informationREMOTE SENSING AND GIS AS POLLUTION MODEL VALIDATION AND EMISSION ASSESSMENT TOOLS. Athens, Athens, Greece
REMOTE SENSING AND GIS AS POLLUTION MODEL VALIDATION AND EMISSION ASSESSMENT TOOLS Michael Petrakis 1, Theodora Kopania 1, David Briggs 2, Asbjorn Aaheim 3, Gerard Hoek 4, Gavin Shaddick 5, Adrianos Retalis
More informationComparison of cloud statistics from Meteosat with regional climate model data
Comparison of cloud statistics from Meteosat with regional climate model data R. Huckle, F. Olesen, G. Schädler Institut für Meteorologie und Klimaforschung, Forschungszentrum Karlsruhe, Germany (roger.huckle@imk.fzk.de
More informationMERIS SURFACE PRESSURE AND CLOUD FLAG: PRESENT STATUS AND IMPROVEMENTS
ABSTRACT MERIS SURFACE PRESSURE AND CLOUD FLAG: PRESENT STATUS AND IMPROVEMENTS D. Ramon (1), R. Santer (2), P. Dubuisson (2) (1) HYGEOS, 191 rue N. Appert, 59650 Villeneuve d Ascq, FRANCE, dr@hygeos.com
More informationCreating a cloud-free MODIS snow cover product using spatial and temporal interpolation and temperature thresholds
Creating a cloud-free MODIS snow cover product using spatial and temporal interpolation and temperature thresholds Justinas Kilpys, Egidijus Rimkus, Silvija Pipiraitė Vilnius University, Institute of Geosciences
More informationSNOW COVER MAPPING USING METOP/AVHRR AND MSG/SEVIRI
SNOW COVER MAPPING USING METOP/AVHRR AND MSG/SEVIRI Niilo Siljamo, Markku Suomalainen, Otto Hyvärinen Finnish Meteorological Institute, P.O.Box 503, FI-00101 Helsinki, Finland Abstract Weather and meteorological
More informationTHE LAND-SAF SURFACE ALBEDO AND DOWNWELLING SHORTWAVE RADIATION FLUX PRODUCTS
THE LAND-SAF SURFACE ALBEDO AND DOWNWELLING SHORTWAVE RADIATION FLUX PRODUCTS Bernhard Geiger, Dulce Lajas, Laurent Franchistéguy, Dominique Carrer, Jean-Louis Roujean, Siham Lanjeri, and Catherine Meurey
More informationPreparation and dissemination of the averaged maps and fields of selected satellite parameters for the Black Sea within the SeaDataNet project
Journal of Environmental Protection and Ecology 11, No 4, 1568 1578 (2010) Environmental informatics Preparation and dissemination of the averaged maps and fields of selected satellite parameters for the
More informationRecent Update on MODIS C6 and VIIRS Deep Blue Aerosol Products
Recent Update on MODIS C6 and VIIRS Deep Blue Aerosol Products N. Christina Hsu, Photo taken from Space Shuttle: Fierce dust front over Libya Corey Bettenhausen, Andrew M. Sayer, and Rick Hansell Laboratory
More informationComparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform
Comparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform Robert Knuteson, Hank Revercomb, Dave Tobin University of Wisconsin-Madison 16
More informationSEASONAL AND ANNUAL TRENDS OF AUSTRALIAN MINIMUM/MAXIMUM DAILY TEMPERATURES DURING
SEASONAL AND ANNUAL TRENDS OF AUSTRALIAN MINIMUM/MAXIMUM DAILY TEMPERATURES DURING 1856-2014 W. A. van Wijngaarden* and A. Mouraviev Physics Department, York University, Toronto, Ontario, Canada 1. INTRODUCTION
More informationCORRELATION BETWEEN ATMOSPHERIC COMPOSITION AND VERTICAL STRUCTURE AS MEASURED BY THREE GENERATIONS OF HYPERSPECTRAL SOUNDERS IN SPACE
CORRELATION BETWEEN ATMOSPHERIC COMPOSITION AND VERTICAL STRUCTURE AS MEASURED BY THREE GENERATIONS OF HYPERSPECTRAL SOUNDERS IN SPACE Nadia Smith 1, Elisabeth Weisz 1, and Allen Huang 1 1 Space Science
More informationDefining microclimates on Long Island using interannual surface temperature records from satellite imagery
Defining microclimates on Long Island using interannual surface temperature records from satellite imagery Deanne Rogers*, Katherine Schwarting, and Gilbert Hanson Dept. of Geosciences, Stony Brook University,
More information- satellite orbits. Further Reading: Chapter 04 of the text book. Outline. - satellite sensor measurements
(1 of 12) Further Reading: Chapter 04 of the text book Outline - satellite orbits - satellite sensor measurements - remote sensing of land, atmosphere and oceans (2 of 12) Introduction Remote Sensing:
More informationURBAN HEAT ISLAND IN SEOUL
URBAN HEAT ISLAND IN SEOUL Jong-Jin Baik *, Yeon-Hee Kim ** *Seoul National University; ** Meteorological Research Institute/KMA, Korea Abstract The spatial and temporal structure of the urban heat island
More informationVALIDATION OF MSG DERIVED SURFACE INCOMING GLOBAL SHORT-WAVE RADIATION PRODUCTS OVER BELGIUM
VALIDATION OF MSG DERIVED SURFACE INCOMING GLOBAL SHORT-WAVE RADIATION PRODUCTS OVER BELGIUM C. Bertrand 1, R. Stöckli 2, M. Journée 1 1 Royal Meteorological Institute of Belgium (RMIB), Brussels, Belgium
More informationC. Jimenez, C. Prigent, F. Aires, S. Ermida. Estellus, Paris, France Observatoire de Paris, France IPMA, Lisbon, Portugal
All-weather land surface temperature estimates from microwave satellite observations, over several decades and real time: methodology and comparison with infrared estimates C. Jimenez, C. Prigent, F. Aires,
More informationUSE OF SATELLITE INFORMATION IN THE HUNGARIAN NOWCASTING SYSTEM
USE OF SATELLITE INFORMATION IN THE HUNGARIAN NOWCASTING SYSTEM Mária Putsay, Zsófia Kocsis and Ildikó Szenyán Hungarian Meteorological Service, Kitaibel Pál u. 1, H-1024, Budapest, Hungary Abstract The
More informationSpectral surface albedo derived from GOME-2/Metop measurements
Spectral surface albedo derived from GOME-2/Metop measurements Bringfried Pflug* a, Diego Loyola b a DLR, Remote Sensing Technology Institute, Rutherfordstr. 2, 12489 Berlin, Germany; b DLR, Remote Sensing
More informationSurface UV Irradiance from OMI on EOS Aura. Atmospheric Science Conference ESRIN, 8-12 May 2006 Aapo Tanskanen
Surface UV Irradiance from OMI on EOS Aura Atmospheric Science Conference ESRIN, 8-12 May 2006 Aapo Tanskanen Contents OMI Surface UV Algorithm N. Krotkov /GEST Center, University of Maryland J. Herman
More informationCloud masking as cross-cutting issue
Cloud masking as cross-cutting issue Presentation to CEOS/WGCV activity project planning meeting Rainer Hollmann, Cornelia Schlundt, Satellite based Climate Monitoring Deutscher Wetterdienst Outline Need
More informationIntegration of satellite and ground measurements for mapping particulate matter in alpine regions
Integration of satellite and ground measurements for mapping particulate matter in alpine regions Emili E. 1,2 Petitta M. 2 Popp C. 3 Tetzlaff A. 2 Riffler M. 1 Wunderle S. 1 1 University of Bern, Institute
More informationMeteoSwiss Spatial Climate Analyses: Documentation of Datasets for Users
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss MeteoSwiss Spatial Climate Analyses: Documentation of Datasets for Users Figure 1: Distribution of the 48-hour
More informationRegionalized and application-specific compositing - a review of requirements, opportunities and challenges
Regionalized and application-specific compositing - a review of requirements, opportunities and challenges Patrick Griffiths & Patrick Hostert Geography Department, Humboldt University Berlin Joanne White
More informationSentinel 2 Pre-processing Requirements for coastal and inland waters
Sentinel 2 Pre-processing Requirements for coastal and inland waters K A I S Ø R E NSEN NIVA CARSTEN B R O CKMANN Ecological and chemical classification of water bodies in Norway Water quality - products
More informationExtending the Deep Blue aerosol record from SeaWiFS and MODIS to NPP-VIIRS
Extending the Deep Blue aerosol record from SeaWiFS and MODIS to NPP-VIIRS Andrew M. Sayer, N. Christina Hsu (PI), Corey Bettenhausen, Jaehwa Lee Climate & Radiation Laboratory, NASA Goddard Space Flight
More informationSeasonal Aerosol Vertical Distribution and Optical Properties over North China Xing-xing GAO, Yan CHEN, Lei ZHANG * and Wu ZHANG
2017 International Conference on Energy, Environment and Sustainable Development (EESD 2017) ISBN: 978-1-60595-452-3 Seasonal Aerosol Vertical Distribution and Optical Properties over North China Xing-xing
More informationEvaluation of Satellite and Reanalysis Products of Downward Surface Solar Radiation over East Asia
International Workshop on Land Use/Cover Changes and Air Pollution in Asia August 4-7th, 2015, Bogor, Indonesia Evaluation of Satellite and Reanalysis Products of Downward Surface Solar Radiation over
More informationEvaluation of land surface temperature (LST) patterns in the urban agglomeration of Krakow using different satellite data and GIS
Evaluation of land surface temperature (LST) patterns in the urban agglomeration of Krakow using different satellite data and GIS Jakub P. Walawender 1,2 1 Satellite Remote Sensing Centre, Institute of
More information4.5 Comparison of weather data from the Remote Automated Weather Station network and the North American Regional Reanalysis
4.5 Comparison of weather data from the Remote Automated Weather Station network and the North American Regional Reanalysis Beth L. Hall and Timothy. J. Brown DRI, Reno, NV ABSTRACT. The North American
More informationSIMPLE ESTIMATION OF AIR TEMPERATURE FROM MODIS LST IN GIFU CITY, JAPAN
SIMPLE ESTIMATION OF AIR TEMPERATURE FROM MODIS LST IN GIFU CITY, JAPAN Ali Rahmat The United Graduate School of Agricultural Science, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan Abstract: In the
More informationRecommendations from COST 713 UVB Forecasting
Recommendations from COST 713 UVB Forecasting UV observations UV observations can be used for comparison with models to get a better understanding of the processes influencing the UV levels reaching the
More informationWe greatly appreciate the thoughtful comments from the reviewers. According to the reviewer s comments, we revised the original manuscript.
Response to the reviews of TC-2018-108 The potential of sea ice leads as a predictor for seasonal Arctic sea ice extent prediction by Yuanyuan Zhang, Xiao Cheng, Jiping Liu, and Fengming Hui We greatly
More informationTHE INVESTIGATION OF SNOWMELT PATTERNS IN AN ARCTIC UPLAND USING SAR IMAGERY
THE INVESTIGATION OF SNOWMELT PATTERNS IN AN ARCTIC UPLAND USING SAR IMAGERY Johansson, M., Brown, I.A. and Lundén, B. Department of Physical Geography, Stockholm University, S-106 91 Stockholm, Sweden
More information1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5
1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5 James Szykman*, John White US EPA, Office of Air Quality Planning and
More informationInterannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region
Yale-NUIST Center on Atmospheric Environment Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region ZhangZhen 2015.07.10 1 Outline Introduction Data
More informationNESDIS Global Automated Satellite Snow Product: Current Status and Recent Results Peter Romanov
NESDIS Global Automated Satellite Snow Product: Current Status and Recent Results Peter Romanov NOAA-CREST, City University of New York (CUNY) Center for Satellite Applications and Research (STAR), NOAA/NESDIS
More informationThe retrieval of the atmospheric humidity parameters from NOAA/AMSU data for winter season.
The retrieval of the atmospheric humidity parameters from NOAA/AMSU data for winter season. Izabela Dyras, Bożena Łapeta, Danuta Serafin-Rek Satellite Research Department, Institute of Meteorology and
More informationThe CEOS Atmospheric Composition Constellation (ACC) An Example of an Integrated Earth Observing System for GEOSS
The CEOS Atmospheric Composition Constellation (ACC) An Example of an Integrated Earth Observing System for GEOSS Presentation Authors: E. Hilsenrath NASA, C. Zehner ESA, J. Langen ESA, J. Fishman NASA
More informationP1.34 MULTISEASONALVALIDATION OF GOES-BASED INSOLATION ESTIMATES. Jason A. Otkin*, Martha C. Anderson*, and John R. Mecikalski #
P1.34 MULTISEASONALVALIDATION OF GOES-BASED INSOLATION ESTIMATES Jason A. Otkin*, Martha C. Anderson*, and John R. Mecikalski # *Cooperative Institute for Meteorological Satellite Studies, University of
More informationSpatial interpolation of sunshine duration in Slovenia
Meteorol. Appl. 13, 375 384 (2006) Spatial interpolation of sunshine duration in Slovenia doi:10.1017/s1350482706002362 Mojca Dolinar Environmental Agency of the Republic of Slovenia, Meteorological Office,
More informationGEOG Lecture 8. Orbits, scale and trade-offs
Environmental Remote Sensing GEOG 2021 Lecture 8 Orbits, scale and trade-offs Orbits revisit Orbits geostationary (36 000 km altitude) polar orbiting (200-1000 km altitude) Orbits revisit Orbits geostationary
More informationSatellite Constraints on Arctic-region Airborne Particles Ralph Kahn NASA Goddard Space Flight Center
Satellite Constraints on Arctic-region Airborne Particles Ralph Kahn NASA Goddard Space Flight Center Sea of Okhotsk, MODIS image Feb. 6, 2007, NASA Earth Observatory Arctic Aerosol Remote Sensing Overview
More informationJ8.4 TRENDS OF U.S. SNOWFALL AND SNOW COVER IN A WARMING WORLD,
J8.4 TRENDS OF U.S. SNOWFALL AND SNOW COVER IN A WARMING WORLD, 1948-2008 Richard R. Heim Jr. * NOAA National Climatic Data Center, Asheville, North Carolina 1. Introduction The Intergovernmental Panel
More informationStudying snow cover in European Russia with the use of remote sensing methods
40 Remote Sensing and GIS for Hydrology and Water Resources (IAHS Publ. 368, 2015) (Proceedings RSHS14 and ICGRHWE14, Guangzhou, China, August 2014). Studying snow cover in European Russia with the use
More informationModelling snow accumulation and snow melt in a continuous hydrological model for real-time flood forecasting
IOP Conference Series: Earth and Environmental Science Modelling snow accumulation and snow melt in a continuous hydrological model for real-time flood forecasting To cite this article: Ph Stanzel et al
More informationMODIS/Terra observed seasonal variations of snow cover over the Tibetan Plateau
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L06706, doi:10.1029/2007gl029262, 2007 MODIS/Terra observed seasonal variations of snow cover over the Tibetan Plateau Zhaoxia Pu, 1,2
More informationLand Surface Temperature in the EUMETSAT LSA SAF: Current Service and Perspectives. Isabel Trigo
Land Surface Temperature in the EUMETSAT LSA SAF: Current Service and Perspectives Isabel Trigo Outline EUMETSAT Land-SAF: Land Surface Temperature Geostationary Service SEVIRI Polar-Orbiter AVHRR/Metop
More informationHOMOGENEOUS VALIDATION SCHEME OF THE OSI SAF SEA SURFACE TEMPERATURE PRODUCTS
HOMOGENEOUS VALIDATION SCHEME OF THE OSI SAF SEA SURFACE TEMPERATURE PRODUCTS Pierre Le Borgne, Gérard Legendre, Anne Marsouin, Sonia Péré Météo-France/DP/Centre de Météorologie Spatiale BP 50747, 22307
More informationSimulated Radiances for OMI
Simulated Radiances for OMI document: KNMI-OMI-2000-004 version: 1.0 date: 11 February 2000 author: J.P. Veefkind approved: G.H.J. van den Oord checked: J. de Haan Index 0. Abstract 1. Introduction 2.
More informationMonitoring daily evapotranspiration in the Alps exploiting Sentinel-2 and meteorological data
Monitoring daily evapotranspiration in the Alps exploiting Sentinel-2 and meteorological data M. Castelli, S. Asam, A. Jacob, M. Zebisch, and C. Notarnicola Institute for Earth Observation, Eurac Research,
More informationSatellite remote sensing of aerosols & clouds: An introduction
Satellite remote sensing of aerosols & clouds: An introduction Jun Wang & Kelly Chance April 27, 2006 junwang@fas.harvard.edu Outline Principals in retrieval of aerosols Principals in retrieval of water
More informationWeather History on the Bishop Paiute Reservation
Weather History on the Bishop Paiute Reservation -211 For additional information contact Toni Richards, Air Quality Specialist 76 873 784 toni.richards@bishoppaiute.org Updated 2//214 3:14 PM Weather History
More informationPERFORMANCE OF FIRE DETECTION ALGORITHMS USING HIMAWARI-8
PERFORMANCE OF FIRE DETECTION ALGORITHMS USING HIMAWARI-8 non-peer reviewed research proceedings from the Bushfire and Natural Hazards CRC & AFAC conference Perth, 5 8 September 2018 Chermelle Engel 1,2,
More informationThe use of spatial-temporal analysis for noise reduction in MODIS NDVI time series data
The use of spatial-temporal analysis for noise reduction in MODIS NDVI time series data Julio Cesar de Oliveira 1,2, José Carlos Neves Epiphanio 1, Camilo Daleles Rennó 1 1 Instituto Nacional de Pesquisas
More informationWMO Aeronautical Meteorology Scientific Conference 2017
Session 1 Science underpinning meteorological observations, forecasts, advisories and warnings 1.6 Observation, nowcast and forecast of future needs 1.6.1 Advances in observing methods and use of observations
More informationModeling of Day-to-Day Temporal Progression of Clear-Sky Land Surface Temperature
Duan et al.: MODELING OF DAY-TO-DAY TEMPORAL PROGRESSION OF CLEAR-SKY LST 1 Modeling of Day-to-Day Temporal Progression of Clear-Sky Land Surface Temperature Si-Bo Duan, Zhao-Liang Li, Hua Wu, Bo-Hui Tang,
More informationGlobal Solar Dataset for PV Prospecting. Gwendalyn Bender Vaisala, Solar Offering Manager for 3TIER Assessment Services
Global Solar Dataset for PV Prospecting Gwendalyn Bender Vaisala, Solar Offering Manager for 3TIER Assessment Services Vaisala is Your Weather Expert! We have been helping industries manage the impact
More informationEvapotranspiration monitoring with Meteosat Second Generation satellites: method, products and utility in drought detection.
Evapotranspiration monitoring with Meteosat Second Generation satellites: method, products and utility in drought detection. Nicolas Ghilain Royal Meteorological Institute Belgium EUMeTrain Event week
More informationTowards eenvironment Prague, March GMES Space Component. Josef Aschbacher Head, ESA GMES Space Office
Towards eenvironment Prague, 25-27 March 2009 GMES Space Component Josef Aschbacher Head, ESA GMES Space Office Prague from Space Segment 2 05 Nov 2003 CNES 2003 GISAT 2007 ESA GSELAND GMES is an EU led
More informationLech GAWUC, Joanna STRUZEWSKA. Meteorology Division Faculty of Environmental Engineering Warsaw University of Technology Warsaw, Poland
Analysis of the impact of different temporal aggregation techniques of land surface temperature on SUHI indicators and the relationship of surface temperature with population density and night lighting
More informationsentinel-2 COLOUR VISION FOR COPERNICUS
sentinel-2 COLOUR VISION FOR COPERNICUS SATELLITES TO SERVE By providing a set of key information services for a wide range of practical applications, Europe s Copernicus programme is providing a step
More informationChapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm
Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm -Aerosol and tropospheric ozone retrieval method using continuous UV spectra- Atmospheric composition measurements from satellites are
More informationOn the Satellite Determination of Multilayered Multiphase Cloud Properties. Science Systems and Applications, Inc., Hampton, Virginia 2
JP1.10 On the Satellite Determination of Multilayered Multiphase Cloud Properties Fu-Lung Chang 1 *, Patrick Minnis 2, Sunny Sun-Mack 1, Louis Nguyen 1, Yan Chen 2 1 Science Systems and Applications, Inc.,
More informationUsing GOME and SCIAMACHY NO 2 measurements to constrain emission inventories potential and limitations
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Department 1 Physics/Electrical Engineering TP-HTAP WMO Geneva, 25 January 2007 Using GOME and SCIAMACHY NO 2 measurements to constrain
More information1 INTRODUCTION 2 DESCRIPTION OF THE MODELS. In 1989, two models were able to make smog forecasts; the MPA-model and
The national smog warning system in The Netherlands; a combination of measuring and modelling H. Noordijk Laboratory of Air Research, National Institute of Public Health and Environmental Protection (WFM;,
More informationSentinel-3: Lessons from AATSR/MERIS Synergy. Peter North Swansea University
Sentinel-3: Lessons from AATSR/MERIS Synergy Peter North Swansea University Introduction ESA projects relevant to Sentinel-3: Aerosol CCI MERIS/AATSR Synergy GlobAlbedo SEN4LST S3 Algorithm development
More informationEUMETSAT. A global operational satellite agency at the heart of Europe. Presentation for the Spanish Industry Day Madrid, 15 March 2012
EUMETSAT A global operational satellite agency at the heart of Europe Presentation for the Spanish Industry Day Madrid, Angiolo Rolli EUMETSAT Director of Administration EUMETSAT objectives The primary
More informationPan-Arctic Land and Lake Surface Temperature from AATSR and MODIS: Products Development and Evaluation
Pan-Arctic Land and Lake Surface Temperature from AATSR and MODIS: Products Development and Evaluation Homa Kheyrollah Pour Claude Duguay University of Waterloo 1 st Arctic Products Validation & Evolution
More informationMineral desert dust: Comparison. between Tel-Aviv University dust forecasts and PM10 data. 3-rd Year Lab course.
3-rd Year Lab course Mineral desert dust: Comparison between Tel-Aviv University dust forecasts and PM10 data Pavel Kishcha Tel-Aviv University email: pavelk@post.tau.ac.il The Objectives of the Lab The
More informationT-re Plots Generated from MSG Data in Severe Storms Forecasting Testing in Central Europe
WDS'11 Proceedings of Contributed Papers, Part III, 88 92, 2011. ISBN 978-80-7378-186-6 MATFYZPRESS T-re Plots Generated from MSG Data in Severe Storms Forecasting Testing in Central Europe M. Pokorný
More informationCONSTRUCTION OF A 4D WATER ICE CLOUD DATABASE FROM MARS EXPRESS / OMEGA OBSERVATIONS DERIVATION OF THE DIURNAL MARTIAN CLOUD LIFE CYCLE
CONSTRUCTION OF A 4D WATER ICE CLOUD DATABASE FROM MARS EXPRESS / OMEGA OBSERVATIONS DERIVATION OF THE DIURNAL MARTIAN CLOUD LIFE CYCLE A. Szantai, Laboratoire de Météorologie Dynamique, (CNRS/UPMC/IPSL),
More informationSatellite observation of atmospheric dust
Satellite observation of atmospheric dust Taichu Y. Tanaka Meteorological Research Institute, Japan Meteorological Agency 11 April 2017, SDS WAS: Dust observation and modeling @WMO, Geneva Dust observations
More informationACTRIS aerosol vertical profiles: advanced data and their potential use in a aerosol observations/models combined approach
ACTRIS aerosol vertical profiles: advanced data and their potential use in a aerosol observations/models combined approach Lucia Mona CNR-IMAA, Potenza, Italy mona@imaa.cnr.it and EARLINET Team OUTLINE
More informationAir quality. EU GEMS project. European air quality satellite missions. Hennie Kelder. KNMI University of Technology, Eindhoven
Air quality EU GEMS project European air quality satellite missions Hennie Kelder KNMI University of Technology, Eindhoven Global and regional Earth-System (atmosphere) Monitoring using Satellite and in-situ
More informationIntroducing VIIRS Aerosol Products
1 Introducing VIIRS Aerosol Products Shobha Kondragunta NOAA/NESDIS Center for Satellite Applications and Research VIIRS Aerosol Cal/Val Team 2 Name Organization Major Task Kurt F. Brueske IIS/Raytheon
More informationMeasures Also Significant Factors of Flood Disaster Reduction
Non-Structual Measures Also Significant Factors of Flood Disaster Reduction Babiaková Gabriela, Leškov ková Danica Slovak Hydrometeorological Institute, Bratislava Hydrological Forecasts and Warning Department
More informationMODIS Snow Cover Mapping Decision Tree Technique: Snow and Cloud Discrimination
67 th EASTERN SNOW CONFERENCE Jiminy Peak Mountain Resort, Hancock, MA, USA 2010 MODIS Snow Cover Mapping Decision Tree Technique: Snow and Cloud Discrimination GEORGE RIGGS 1, AND DOROTHY K. HALL 2 ABSTRACT
More informationRemote Sensing ISSN
Remote Sens. 2010, 2, 2127-2135; doi:10.3390/rs2092127 Communication OPEN ACCESS Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Determination of Backscatter-Extinction Coefficient Ratio
More informationAniekan Eyoh 1* Department of Geoinformatics & Surveying, Faculty of Environmental Studies, University of Uyo, Nigeria
Available online at http://euroasiapub.org/journals.php, pp. 53~62 Thomson Reuters Researcher ID: L-5236-2015 TEMPORAL APPRAISAL OF LAND SURFACE TEMPERATURE DYNAMICS ACROSS THE NINE STATES OF NIGER DELTA
More informationSAN FRANCISCO STATE UNIVERSITY NAME DEPARTMENT OF GEOSCIENCES Spring 2013
SAN FRANCISCO STATE UNIVERSITY NAME DEPARTMENT OF GEOSCIENCES Spring 2013 METR 415/715: MONTEVERDI QUIZ 1 Open Book and Open Notes 200 points, 45 minutes 1. Compute the altitude of a geostationary orbit
More informationNerushev A.F., Barkhatov A.E. Research and Production Association "Typhoon" 4 Pobedy Street, , Obninsk, Kaluga Region, Russia.
DETERMINATION OF ATMOSPHERIC CHARACTERISTICS IN THE ZONE OF ACTION OF EXTRA-TROPICAL CYCLONE XYNTHIA (FEBRUARY 2010) INFERRED FROM SATELLITE MEASUREMENT DATA Nerushev A.F., Barkhatov A.E. Research and
More information