Fourth Study Conference on BALTEX Scala Cinema Gudhjem

More documents

Recommendations

Info

- 4 - Bonus for the Baltic Sea Science - Network of Funding Agencies Kaisa Kononen (co-ordinator) Academy of Finland, Vilhonvuorenkatu 6, P.O.Box 99, FIN-00501 Helsinki, Finland email: kaisa.kononen@aka.fi 1. What is BONUS? BONUS is an EU 6 th Framework Programme ERA-NET project with a total funding of 3.03 million euros for years 2004-2007. The project brings together the key research funding organisations in all EU Member States around the Baltic Sea. The aim is to gradually and systematically create conditions for a joint Baltic Sea research and researcher training programme. BONUS operates in close connection with the scientific and management actors. 2. Why BONUS and how? The objective of BONUS is to form a network and partnership of key agencies funding research aiming at deepening the understanding of conditions for science-based management of environmental issues in the Baltic Sea The ‘status quo’ in ongoing research, research funding, marine research programme management and infrastructures is examined and the necessary communication and networking tools are established. The needs and conditions of a joint research programme from scientific and administrative point of view are examined. The integration of the new EU Member States to the common funding scheme is considered in one of the tasks. Finally, an Action Plan for creating joint research programmes, including all jointly agreed procedures of programme management and aspects of common use of marine research infrastructure is produced. An additional activity is the development of a common postgraduate training scheme. 3. Who are BONUS partners? The consortium is composed of altogether 11 partners: 10 research funding organisations from 8 countries and one international organisation. In addition, BONUS links 7 funding organisations as observers, which increases the number on involved organisations to 18 and countries to 9. Co-ordinator Academy of Finland, Research Council for Biosciences and Environment, Programme Manager Kaisa Kononen (kaisa.kononen@aka.fi) Partners - Academy of Finland, Co-ordinator - Forschungszentrum Juelich - Projekttraeger Juelich, Germany - Danish Research Agency (Danish Natural Science Council ) - Estonian Science Foundation - International Council for the Exploration of the Sea - Ministry of Education and Science of the Republic of Lithuania - Latvian Council of Science - Ministry of Scientific Research and Information Technology, Poland - Foundation for Strategic Environmental Research, Sweden - The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning - Swedish Environmental Protection Agency Observers - Deutsche Bundesstiftung Umwelt - Deutsche Forschungsgemeinschaft - Estonian Ministry of Environment - Latvian Environment Agency - Mar and Tor Nessling Foundation, Finland - Nordic Council of Ministers: Marine and air pollution group 4. Who will participate BONUS? BONUS will not offer funding for networking of scientists. Neither is it going to fund research itself. Instead, BONUS will make the national research funding to co-operate. Participants in BONUS workshops and meetings will include marine research programme managers, science advisers, legal counsels and finance managers in the funding organisations. In addition, teaching professors in marine sciences, marine research infrastructure managers and scientists will be invited to specific workshops. 5. Further information Kaisa Kononen Programme Manager BONUS Network Co-ordinator Academy of Finland P.O.Box 99 00501 Helsinki Finland www.balticsearesearch.net www.bonusportal.org
- 5 - Remote Sensing of Atmospheric Properties Above the Baltic Region Jürgen Fischer, Peter Albert and Rene Preusker Institut für Weltraumwissenschaften, Freie Universität Berlin, Germany Carl-Heinrich Becker Weg 6-10 D-12165 Berlin e-mail: anja.hünerbein@wew.fu-berlin.de 1. Introduction The observation of water vapour and cloud properties from the polar orbiting satellites ENVISAT, TERRA and AQUA has improved the understanding of their spatial and temporal variability. The columnar water vapour are retrieved from measurements in the near-infrared with an accuracy which has been not reached before the satellite instruments MODIS (Moderate Resolution Imaging Spectroradiometer) and MERIS (Medium Resolution Imaging Spectrometer) has been launched in 1999 and 2002. The unique spectral channels within the oxygen A-band absorption of MERIS are suited to improve the retrieval of cloud top pressure. MODIS has dedicated channels within the CO2 absorption band at 15 µm which also leads to a more precise retrieval of the cloud top pressure. Both, MODIS and MERIS measurements are used to observe water vapour and cloud properties above the Baltic region. 2. Results The algorithms for the retrieval of the atmospheric properties are validated for MODIS and MERIS measurements. Figure 1 exemplarily shows a scatter plot of columnar water vapour measured by GPS stations vs. MERIS measurements. The measurements are taken over Germany between October 2002 and September 2003. Both, the rms of 0.17g/cm 2 and a bias of 0.03g/cm 2 , indicate that the MERIS water vapour retrieval above land surfaces is of high quality. The accuracy of the MODIS water retrieval is in the same range as shown for MERIS. Small scale variations of the water vapour fields can be observed with the Full Resolution (300*260 m 2 ) MERIS images (Figure 2). MODIS and MERIS data are used to estimate daily and monthly means of the water vapour fields above Europe. Figure 1. Scatter plot of columnar water vapour measured by GPS stations vs. MERIS measurements. Measurements are taken over Germany between October 2002 and September 2003 . The cloud top pressure is more difficult to validate, because there are only a few independent measurements, such as from cloud radars, are available. The accuracy of the cloud top pressure retrieval which can be achieved from MODIS Figure 2. Integrated water vapour taken from a Full Resolution MERIS image (12th of August 2003). and MERIS measurements depends on the cloud type and the existence of multi-layer clouds. A comparison of MODIS and MERIS cloud top pressure retrievals are shown in figure 3. MODIS observes more high clouds which is caused by the measurements in the thermal infrared which are more sensitive to high thin clouds, which are more difficult to detect from MERIS measurements in the near infrared. Observations from the satellite instruments MERIS and MODIS will help to study the atmospheric variability and contribute to the aims of GEWEX. Figure 3. Scatter diagram of the median MODIS and the median MERIS cloud top heights for all considered scenes. References Albert, P., R. Bennartz, R. Preusker, R. Leinweber, J. Fischer: Remote Sensing of atmospheric water vapor using the Moderate Resolution Imaging Spectrometer (MODIS), Geophysical Research Letters, in press, 2004 Preusker, R. J. Fischer, P. Albert, R. Bennartz, and L. Schüller: Cloud-top pressure retrieval using the oxygen A-band in the IRS_3 MOS instrument, IJRS, excepted, 2004.
Page 1 and 2: Fourth Stu
Page 3: Preface The 4 th Study</str
Page 7 and 8: - I - Table of Abstracts Title Auth
Page 9 and 10: - III - Sensitivity in Calculation
Page 11 and 12: - V - Parameter Estimation of the S
Page 13 and 14: - VII - The Realism of the ECHAM5.2
Page 15 and 16: Adam, W. K. .......................
Page 17 and 18: - 1 - Activities of the GEWEX Hydro
Page 19: eference site archive (Cabauw, Neth
Page 23 and 24: minute averages around the satellit
Page 25 and 26: - 9 - Precipitation Type Statistics
Page 27 and 28: - 11 - Assimilation of New Land Sur
Page 29 and 30: Multichannel Microwave Radiometer f
Page 31 and 32: output has been processed in an equ
Page 33 and 34: height dependence of the Z-R-relati
Page 35 and 36: - 19 - CERES and Surface Radiation
Page 37 and 38: - 21 - Coastal Wind Mapping from Sa
Page 39 and 40: - 23 - Clouds and Water Vapor over
Page 41 and 42: - 25 - Broadband Cloud Albedo from
Page 43 and 44: - 27 - Observation of Clouds and Wa
Page 45 and 46: shows a ground-track of the vessel
Page 47 and 48: - 31 - Determination and Comparison
Page 49 and 50: - 33 - Spatial Variability of Snow
Page 51 and 52: - 35 - EVA-GRIPS: Regional Evaporat
Page 53 and 54: - 37 - LITFASS-2003 - A Land Surfac
Page 55 and 56: -39- Calibrated Surface Temperature
Page 57 and 58: - 41 - The Marine Boundary Layer -
Page 59 and 60: - 43 - Characteristics of the Atmos
Page 61 and 62: Figure 2. Surface stress from two d
Page 63 and 64: During the experiment the water was
Page 65 and 66: While the number of smallest drops
Page 67 and 68: SCANDIA will not be supported any l
Page 69 and 70: - 53 - Relationships Between Precip
Page 71 and 72:
- 55 - Analysis of the Role of Atmo
Page 73 and 74:
- 57 - Meteorological Peculiarities
Page 75 and 76:
Baltic Sea Inflow Events Jan Piechu
Page 77 and 78:
- 61 - The Different Baltic Inflows
Page 79 and 80:
- 63 - Observations of Turbulent Ki
Page 81 and 82:
- 65 - The Influence of Synoptic Si
Page 83 and 84:
-67- Improved Method for the Determ
Page 85 and 86:
-69- The Helicopter-Borne Turbulenc
Page 87 and 88:
- 71 - CEOP Reference Site Data fro
Page 89 and 90:
- 73 - The BALTEX Hydrological Data
Page 91 and 92:
- 75 - Hydrological and Hydrochemic
Page 93 and 94:
-77- Sea-level Monitoring at MARNET
Page 95 and 96:
1 0.8 0.6 0.4 0.2 GO(CLD-M) ERA40 S
Page 97 and 98:
Figure 2. Monhly mean values of lat
Page 99 and 100:
In the case of an ideal fit, the co
Page 101 and 102:
- 85 - Influence of Atmospheric For
Page 103 and 104:
The largest inter-annual variabilit
Page 105 and 106:
References Andrejev, O, Sokolov, A.
Page 107 and 108:
On the other hand, if the stratific
Page 109 and 110:
Cyberska 1989, Cyberska and Krzymin
Page 111 and 112:
- 95 - Continental-Scale Water-Bala
Page 113 and 114:
- 97 - ICTS (Inter-CSE Transferabil
Page 115 and 116:
The subsurface flow calculation is
Page 117 and 118:
functions only data with higher qua
Page 119 and 120:
- 103 - Modelling the Impact of Ine
Page 121 and 122:
- 105 - Objective Calibration of th
Page 123 and 124:
- 107 - Validation of Boundary Laye
Page 125 and 126:
- 109 - Simulated Dynamical Process
Page 127 and 128:
spreads along isobaths (fig.2). As
Page 129 and 130:
than the precipitation pattern of J
Page 131 and 132:
Figure 2. Long-term variability in
Page 133 and 134:
obvious from temperature charts. Ho
Page 135 and 136:
shortening of the winter seasons by
Page 137 and 138:
Maximum 5 day precipitation (mm) Nu
Page 139 and 140:
scale parameters the correlation be
Page 141 and 142:
similar: the locations of main mini
Page 143 and 144:
- 127 - Storminess on the Western C
Page 145 and 146:
- 129 - Trends in Wind Speed over t
Page 147 and 148:
- 131 - Wind Energy Prognoses for t
Page 149 and 150:
- 133 - Detection of Climate Change
Page 151 and 152:
Figure 3. Cross section of salinity
Page 153 and 154:
of 35 m/s up to 3 hours. Data on wi
Page 155 and 156:
Figure 2. Time series of Mean Sea L
Page 157 and 158:
- 141 - Calculation and Forecast of
Page 159 and 160:
- 143 - An Overview of Long-Term Ti
Page 161 and 162:
- 145 - Baltic Sea Saltwater Inflow
Page 163 and 164:
- 147 - Significance of Feedback in
Page 165 and 166:
Lindström, G., Johansson, B., Pers
Page 167 and 168:
- 151 - Air-Sea Fluxes Including Mo
Page 169 and 170:
- 153 - The Realism of the ECHAM5.2
Page 171 and 172:
- 155 - Figure 3. Accumulated total
Page 173 and 174:
Figure 2. Example for Fourier decom
Page 175 and 176:
Figure1. Modeled percent volume cha
Page 177 and 178:
conditions even more challenging th
Page 179 and 180:
surface heat fluxes close to zero.
Page 181 and 182:
- 165 - Figure 1. Modeled seasonal
Page 183 and 184:
- 167 - Present-Day and Future Prec
Page 185 and 186:
- 169 - Extreme Precipitation on a
Page 187 and 188:
at the stations Pärnu (Estonia) an
Page 189 and 190:
6. Results There are many possible
Page 191 and 192:
and vegetation, and to derive the h
Page 193 and 194:
The structure of water bodies cadas
Page 195 and 196:
Figure 1. The area of Gdańsk subje
Page 197 and 198:
- 181 - Climate and Water Resources
Page 199 and 200:
- 183 - Generating Synthetic Daily
Page 201 and 202:
The evapotranspiration is affected
Page 203 and 204:
Model parameters and coefficients:
Page 205:
3. Hydrodynamic model of nutrient l
Page 208 and 209:
No. 15: Minutes of 8 th Meeting of
show all

Fourth Study Conference on BALTEX Scala Cinema Gudhjem

Create successful ePaper yourself

Delete template?

Save as template?