Low (web) Quality - BALTEX

More documents

Recommendations

Info

258 required over the smaller regions separately. The difference in vegetation fraction for different regions among USGS and ISRO along with the variation in the type of vegetation and their respective coverage over month and years has to be studied. Error incorporated in the SPOT satellite data itself may be one of the reasons. Error might also get incorporated during the process of retrieval. References: Das, Someshwar, Surya K. Dutta, S.C. Kar, U.C. Mohanty and P.C. Joshi. 2007. Impact of Vegetation and Downscaling on Simulation of the Indian Summer Monsoon using a Regional Climate Model. NCMRWF- IIT Delhi Joint Research Report, 226 pp. Kanamitsu, M., W. Ebisuzaki, J. Woollen, S-K Yang, J.J. Hnilo, M. Fiorino, and G. L. Potter. 2002. NCEP-DOE AMIP-II Reanalysis (R-2). Bul. of the Atmos. Met. Soc. 1631-1643. Kar, S.C. 1990. Influence of vegetation cover in the ECMWF global spectral model. Proc. of Indo-US seminar on Physical Processes in Atmospheric Models held at IITM, Pune, 1990" Ed.by D.R. Sikka and S.S. Singh, 525-536
259 Climate change impacts on the water quality: A case study of the Rosetta Branch in the Nile Delta, Egypt Alaa El-Sadek 1 1 Researcher, Drainage Research Institute, National Water Research Center, Delta Barrage, P.O.Box 13621/5, Cairo, Egypt. alaa_elsadek@yahoo.com A physico-chemical water quality model has been developed for the Rosetta Branch in the Nile Delta, making use of the MIKE11 river modelling software of DHI Water & Environment (DHI, 2002). The physico-chemical water quality (WQ) module of MIKE11 was linked with a detailed full hydrodynamic (HD) model developed for the same Rosetta Branch, and also implemented in the MIKE11 modelling system. The WQ model aims to describe and predict concentrations of dissolved oxygen (DO), biochemical oxygen demand (BOD) and nitrogen in the form of ammonia (NH 4 -N) and nitrate (NO 3 -N), taking into consideration advection, dispersion and the most important biological, chemical and physical processes. All significant pollution sources along the Rosetta Branch were considered. The objective of this research is to study the effect of the climate change in terms of temperature on the water quality statues in Rosetta branch in the Nile Delta of Egypt. The results of this research indicated that, climate change is likely to increase the stress on rivers already under pressure from salinity, over-allocation and declining water quality. Higher water temperatures and reduced stream flows will tend to adversely affect water quality - water temperature, oxygenation, nutrient and pollution loads, salinity and other water chemistry - affecting habitat values for aquatic and riparian species and affecting human uses. Changes in water quality could have implications for all types of uses. For example, higher temperatures and changes in water supply and quality could affect recreational use of rivers or productivity of freshwater fisheries. Finally, the research concluded that, with respect to water quality, most climate change impacts can be attributed to changes in either discharge or in water temperature. To a minor degree climate change may also affect the levels of direct atmospheric input of nutrients and other elements to the surface waters. The discharge controls dilution and residence times. When temperature increases, oxygen diffusion to water decreases and biological activity is enhanced. The development of water quality will depend essentially on the future evolution of human activities. The effectiveness of wastewater treatment, agricultural practices, water withdrawals and many other factors will play an important role.
Page 1:
2 nd International Lund RCM Worksho
Page 5 and 6:
Associated Organisations ENSEMBLES
Page 7:
Preface This Second Lund Regional-s
Page 10 and 11:
II High-resolution dynamical downsc
Page 12 and 13:
IV Investigation of added value at
Page 14 and 15:
VI Soil organic layer: Implications
Page 16 and 17:
VIII Session 4: Regional Observatio
Page 18 and 19:
X Predicting water resources in Wes
Page 20 and 21:
XII The impact of atmospheric therm
Page 22 and 23:
XIV Observation and simulation with
Page 24 and 25:
XVI Favot F .......................
Page 26 and 27:
XVIII Ruoho-Airola T...............
Page 28 and 29:
2 5. Influence of SN on the Ensembl
Page 30 and 31:
4 (+/- 5 days) were used to increas
Page 32 and 33:
6 Dynamical downscaling: Assessment
Page 34 and 35:
8 Improvement of long-term integrat
Page 36 and 37:
10 air temperature annual cycle (Fi
Page 38 and 39:
12 Sensitivity study of CRCM-simula
Page 40 and 41:
14 Regional precipitation anomalies
Page 42 and 43:
16 Assessment of precipitation as s
Page 44 and 45:
18 The Asian summer monsoon in ERA4
Page 46 and 47:
20 Added value of limited area mode
Page 48 and 49:
22 Sensitivity of CRCM basin annual
Page 50 and 51:
24 High-resolution dynamical downsc
Page 52 and 53:
26 There is nevertheless a large ag
Page 54 and 55:
28 technique, as it is based on the
Page 56 and 57:
30 4. Heating mechanism In order to
Page 58 and 59:
32 The geographical distribution of
Page 60 and 61:
34 The CCM scheme reveals a distinc
Page 62 and 63:
36 Performance of pattern scaling i
Page 64 and 65:
38 Evaluation of the analyzed large
Page 66 and 67:
40 Sensitivity studies with a stati
Page 68 and 69:
42 5SL, the results suggest that 5S
Page 70 and 71:
44 are however occasional episodes
Page 72 and 73:
46 this season, as well as the high
Page 74 and 75:
48 Figure 1. Precipitation rate (mm
Page 76 and 77:
50 References Biau. G., E. Zorita,
Page 78 and 79:
52 Investigation of regional climat
Page 80 and 81:
54 Selected examples of the added v
Page 82 and 83:
56 The climate change in Europe sim
Page 84 and 85:
58 Simulation of South Asian summer
Page 86 and 87:
7.5 8.5 9.5 10.5 60 For the climato
Page 88 and 89:
62 precipitation field was more clo
Page 90 and 91:
64 3. Results Fig. 2 shows the anal
Page 92 and 93:
66 Is the position of the model dom
Page 94 and 95:
68 question E. Finally a 10-member
Page 96 and 97:
Figure 2. Same as in Fig.1 but for
Page 98 and 99:
72 Will, A., M. Baldauf, B. Rockel,
Page 100 and 101:
74 ( ) with i = 1,K,n; j = 1,K,m;
Page 102 and 103:
76 Investigation of precipitation o
Page 104 and 105:
78 Impacts of the spectral nudging
Page 106 and 107:
80 Extremes and predictability in t
Page 108 and 109:
82 Large-scale skill in regional cl
Page 110 and 111:
84 Figure 3: As Figure 1 but for Wi
Page 112 and 113:
86 The models capture this pattern
Page 114 and 115:
88 of the simulations due to the di
Page 117 and 118:
91 Examining the relative roles con
Page 119 and 120:
93 Dynamical coupling of the HIRHAM
Page 121 and 122:
95 A parameterization of aircraft i
Page 123 and 124:
97 Stratospheric variability and it
Page 125 and 126:
99 Effects of numerical methods on
Page 127 and 128:
101 Development of a climate model
Page 129 and 130:
103 Study of the capability of the
Page 131 and 132:
105 Evaluation of the land surface
Page 133 and 134:
107 Simulation of the precipitation
Page 135 and 136:
109 Climate simulations over North
Page 137 and 138:
111 Soil organic layer: Implication
Page 139 and 140:
113 4. Results The method how to do
Page 141 and 142:
115 Figure 1. Observed (a) and simu
Page 143 and 144:
117 Evaluation of the Rossby Centre
Page 145 and 146:
119 Simulating aerosols in the regi
Page 147 and 148:
121 Moisture availability and the r
Page 149 and 150:
123 Temperature and precipitation s
Page 151 and 152:
125 4. Preliminary results for down
Page 153 and 154:
127 a) Knutson, T.R., J.J. Sirutis,
Page 155 and 156:
129 Effects of variations in climat
Page 157 and 158:
131 3.2. Precipitation The ensemble
Page 159 and 160:
133 knowledge is essential to asses
Page 161 and 162:
135 pronounced biases in the simula
Page 163 and 164:
137 variability was concentrated at
Page 165 and 166:
139 Investigation of ‘Hurricane K
Page 167 and 168:
141 Evaluation of seasonal forecast
Page 169 and 170:
143 NASH J. E., SUTCLIFFE J. V., 19
Page 171 and 172:
145 Climate change assessment over
Page 173 and 174:
147 For relative operating characte
Page 175 and 176:
149 responsible for the excessive s
Page 177 and 178:
151 and 30km). Domains D1 (90 and 6
Page 179 and 180:
153 can be seen in Fig. 2, where th
Page 181 and 182:
155 High-resolution simulation of a
Page 183 and 184:
157 MesoClim - A mesoscale alpine c
Page 185 and 186:
159 Observed and modeled extremes i
Page 187 and 188:
161 analyzed the surface wind behav
Page 189 and 190:
163 summer particularly in the Paci
Page 191 and 192:
165 since 01.01.2004. For the Meteo
Page 193 and 194:
167 Wind, m/s 12 10 8 6 4 2 Vilsand
Page 195 and 196:
169 heterogeneity. For example, lar
Page 197 and 198:
171 Analysis of surface air tempera
Page 199 and 200:
173 Environmental database and the
Page 201 and 202:
Climate change and water pollution
Page 203 and 204:
177 During summer, winds over the M
Page 205 and 206:
179 followed nearly the correct pat
Page 207 and 208:
181 Verification of simulated near
Page 209 and 210:
183 The North American Regional Cli
Page 211 and 212:
185 An atmosphere-ocean regional cl
Page 213 and 214:
187 different rainfall characterist
Page 215 and 216:
189 with increasing temperature. Mo
Page 217 and 218:
191 Inter-comparison of Asian monso
Page 219 and 220:
193 On the validation of RCMs in te
Page 221 and 222:
195 AMMA-Model Intercomparison Proj
Page 223 and 224:
197 parameterization are used in th
Page 225 and 226:
199 Evaluation of European snow cov
Page 227 and 228:
201 Projections of eastern Mediterr
Page 229 and 230:
203 Atmospheric river induced heavy
Page 231 and 232:
205 CLARIS project: Towards climate
Page 233 and 234: 207 Influence of soil moisture init
Page 235 and 236: 209 Projection of the Changes in th
Page 237 and 238: 211 Regional climate model studies
Page 239 and 240: 213 ENSEMBLES regional climate mode
Page 241 and 242: 215 Assessing the performance of se
Page 243 and 244: 217 Applying the Rossby Centre Regi
Page 245 and 246: 219 Interactions between European s
Page 247 and 248: 221 ALADIN-Climate/CZ simulation of
Page 249 and 250: 223 experiment of recreating the pr
Page 251 and 252: 225 Figure 2. the 10-year averaged
Page 253 and 254: 227 Use of regional climate models
Page 255 and 256: 229 Wave estimations using winds fr
Page 257 and 258: 231 Figure 1. Model domain for the
Page 259 and 260: 233 A coupled regional climate mode
Page 261 and 262: 235 Arctic regional coupled downsca
Page 263 and 264: 237 Convection-resolving regional c
Page 265 and 266: 239 4. Outlook Currently a coupled
Page 267 and 268: 241 distribution within the Netherl
Page 269 and 270: 243 Very high-resolution regional c
Page 271 and 272: 245 Impact of convective parameteri
Page 273 and 274: 247 Development of a regional ocean
Page 275 and 276: 249 Regional climate change impact
Page 277 and 278: 251 River runoff projection of futu
Page 279 and 280: 253 Application of regional-scale c
Page 281 and 282: 255 Local air mass dependence of ex
Page 283: 257 Impact of vegetation on the sim
Page 287 and 288: 261 Influence of soil moisture-near
Page 289 and 290: 263 Forest damage in a changing cli
Page 291 and 292: 265 Future challenges for regional
Page 293 and 294: 267 Linking climate factors and ada
Page 295 and 296: 269 GCMs. In the end of the 21 st c
Page 297 and 298: 271 Climate change impacts on extre
Page 299 and 300: 273 Winter storms with high loss po
Page 301 and 302: 275 The impact of land use change a
Page 303 and 304: 277 6. Analysis of Results (Rain) T
Page 305 and 306: 279 (a) (b) Figure 3. Impact of veg
Page 307 and 308: 281 that cold (Fig. 5). Winter temp
Page 309 and 310: 283 Streamflow in the upper Mississ
Page 311 and 312: 285 Dynamical downscaling of urban
Page 313 and 314: 287 Souma, K., K. Tanaka, E. Nakaki
Page 315 and 316: 289 In April 2000, the fire emissio
Page 317 and 318: 291 Impacts of vegetation on global
Page 321 and 322: International BALTEX Secretariat Pu
Page 323: No. 34: BALTEX Phase II 2003 - 2012
show all

Low (web) Quality - BALTEX

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?