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Fourth Stu
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Preface The 4 th Study</str
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- I - Table of Abstracts Title Auth
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- III - Sensitivity in Calculation
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- V - Parameter Estimation of the S
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- VII - The Realism of the ECHAM5.2
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Adam, W. K. .......................
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- 1 - Activities of the GEWEX Hydro
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eference site archive (Cabauw, Neth
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- 5 - Remote Sensing of Atmospheric
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minute averages around the satellit
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- 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: Baltic Sea Inflow Events Jan Piechu
- 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
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- 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
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- 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
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spreads along isobaths (fig.2). As
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than the precipitation pattern of J
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Figure 2. Long-term variability in
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obvious from temperature charts. Ho
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shortening of the winter seasons by
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Maximum 5 day precipitation (mm) Nu
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scale parameters the correlation be
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similar: the locations of main mini
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- 127 - Storminess on the Western C
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- 129 - Trends in Wind Speed over t
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- 131 - Wind Energy Prognoses for t
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- 133 - Detection of Climate Change
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Figure 3. Cross section of salinity
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of 35 m/s up to 3 hours. Data on wi
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Figure 2. Time series of Mean Sea L
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- 141 - Calculation and Forecast of
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- 143 - An Overview of Long-Term Ti
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- 145 - Baltic Sea Saltwater Inflow
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- 147 - Significance of Feedback in
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Lindström, G., Johansson, B., Pers
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- 151 - Air-Sea Fluxes Including Mo
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- 153 - The Realism of the ECHAM5.2
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- 155 - Figure 3. Accumulated total
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Figure 2. Example for Fourier decom
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Figure1. Modeled percent volume cha
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conditions even more challenging th
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surface heat fluxes close to zero.
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- 165 - Figure 1. Modeled seasonal
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- 167 - Present-Day and Future Prec
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- 169 - Extreme Precipitation on a
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at the stations Pärnu (Estonia) an
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6. Results There are many possible
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and vegetation, and to derive the h
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The structure of water bodies cadas
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Figure 1. The area of Gdańsk subje
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- 181 - Climate and Water Resources
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- 183 - Generating Synthetic Daily
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The evapotranspiration is affected
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Model parameters and coefficients:
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3. Hydrodynamic model of nutrient l
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No. 15: Minutes of 8 th Meeting of