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xiii | |
Foreword |
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xvii | |
Preface |
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xxi | |
Acknowledgments |
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xxvii | |
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Part I Water cycle variables for monitoring hydroclimatic hazards: State-of-the-art and future directions |
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1 | (160) |
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1 Quantitative precipitation estimation from satellite observations |
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3 | (38) |
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3 | (1) |
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1.2 Satellites and instruments |
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4 | (7) |
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1.3 Observations to estimates |
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11 | (10) |
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1.4 Errors and uncertainties |
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21 | (3) |
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24 | (2) |
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26 | (4) |
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30 | (11) |
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31 | (8) |
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39 | (2) |
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2 Terrestrial water storage |
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41 | (24) |
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2.1 Terrestrial water storage components |
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41 | (2) |
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2.2 Overview of the GRACE mission |
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43 | (1) |
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2.3 Terrestrial water storage solutions |
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44 | (2) |
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2.4 Extremes in water storage |
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46 | (12) |
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58 | (7) |
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59 | (5) |
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64 | (1) |
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3 Utility of soil moisture data products for natural disaster applications |
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65 | (22) |
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3.1 Sources of soil moisture information |
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65 | (8) |
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3.2 Soil moisture applications in natural disaster forecasting and monitoring |
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73 | (14) |
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83 | (4) |
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4 Water surface elevation in coastal and inland waters using satellite radar altimetry |
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87 | (42) |
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4.1 Introduction and rationale |
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87 | (3) |
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4.2 The concept of satellite radar altimetry |
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90 | (3) |
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4.3 Water surface elevation in the open ocean |
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93 | (2) |
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4.4 Satellite radar altimetry missions |
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95 | (5) |
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4.5 Altimeter processing in the coastal zone and inland waters |
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100 | (5) |
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4.6 Data sets available for usage in the coastal zone and inland waters |
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105 | (7) |
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4.7 Improvements in accuracy |
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112 | (2) |
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4.8 Water surface elevation and extreme events |
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114 | (5) |
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4.9 Future satellite radar altimetry missions in support of coastal zone and inland waters |
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119 | (10) |
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121 | (1) |
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121 | (6) |
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127 | (2) |
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5 Remote sensing techniques for estimating evaporation |
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129 | (16) |
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129 | (2) |
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5.2 Satellite measurements for evaporation retrievals |
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131 | (2) |
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5.3 Evaporation retrieval approaches |
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133 | (5) |
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138 | (7) |
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139 | (6) |
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145 | (16) |
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6.1 Impact of vegetation on hydrology |
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145 | (4) |
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6.2 Observing vegetation variables from space |
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149 | (3) |
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6.3 Integration of satellite-derived vegetation variables into models |
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152 | (9) |
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156 | (5) |
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Part II Remote sensing and modeling techniques for monitoring and predicting hydroclimatic hazards: Perspectives and applications |
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161 | (230) |
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7 Estimating extreme precipitation using multiple satellite-based precipitation products |
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163 | (28) |
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7.1 Extreme precipitation events |
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163 | (3) |
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166 | (7) |
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7.3 Evaluation methodology |
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173 | (2) |
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7.4 Satellite precipitation product performance in complex terrain regions |
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175 | (8) |
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183 | (8) |
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186 | (4) |
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190 | (1) |
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8 Evaluating the spatiotemporal pattern of concentration, aggressiveness and seasonality of precipitation over Bangladesh with time-series Tropical Rainfall Measuring Mission data |
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191 | (30) |
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191 | (5) |
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8.2 Methods and materials |
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196 | (4) |
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8.3 Results and discussion |
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200 | (12) |
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8.4 Implications for multi-hazard management |
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212 | (2) |
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214 | (7) |
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215 | (4) |
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219 | (2) |
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9 Characterizing meteorological droughts in data scare regions using remote sensing estimates of precipitation |
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221 | (26) |
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Mauricio Zambrano-Bigiarini |
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Oscar Manuel Baez-Villaneuva |
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221 | (2) |
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9.2 Impact of climate change |
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223 | (1) |
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224 | (2) |
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226 | (15) |
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241 | (6) |
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242 | (1) |
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242 | (5) |
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10 Recent advances in remote sensing of precipitation and soil moisture products for riverine flood prediction |
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247 | (20) |
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247 | (3) |
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10.2 Satellite precipitation products |
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250 | (5) |
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10.3 Satellite soil moisture |
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255 | (6) |
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10.4 Towards fully exploiting satellite soil moisture and precipitation products |
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261 | (6) |
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263 | (1) |
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263 | (3) |
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266 | (1) |
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11 On the potential of altimetry and optical sensors for monitoring and forecasting river discharge and extreme flood events |
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267 | (22) |
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267 | (2) |
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11.2 Use of altimetry for in land water |
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269 | (2) |
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11.3 Flood modeling and forecasting using altimetry |
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271 | (8) |
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11.4 Merging altimetry with other remote sensing data for extreme event estimation |
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279 | (3) |
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282 | (7) |
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283 | (6) |
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12 Inundation mapping by remote sensing techniques |
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289 | (28) |
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289 | (1) |
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289 | (1) |
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290 | (2) |
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292 | (1) |
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12.5 Selected studies to date |
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292 | (20) |
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12.6 Case study References |
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312 | (5) |
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13 Storm surge and sea level rise: Threat to the coastal areas of Bangladesh |
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317 | (26) |
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317 | (1) |
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13.2 Tropical cyclone-induced storm suroe |
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318 | (1) |
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13.3 Climate change and sea level rise |
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319 | (1) |
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13.4 Background on the coastal zone of Bangladesh |
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320 | (3) |
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13.5 Hydromorphological features in the Bangladesh coast |
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323 | (1) |
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13.6 Coastal flooding and storm surges in Bangladesh |
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324 | (3) |
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13.7 Overview of the coastal protection measures |
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327 | (1) |
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13.8 Modeling, forecasting, and predicting tropical cyclones and storm surge in Bangladesh |
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328 | (2) |
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13.9 Sea level rise in Bangladesh |
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330 | (2) |
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13.10 Way forward to combat, mitigate, and adapt to coastal flooding and sea level rise |
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332 | (11) |
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334 | (8) |
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342 | (1) |
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14 Hazard assessment and forecasting of landslides and debris flows: A case study in Northern Italy |
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343 | (26) |
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343 | (2) |
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14.2 Shallow landslides and the initiation process |
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345 | (5) |
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14.3 Debris flows initiation processes |
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350 | (2) |
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14.4 Shallow landslides and debris flows hazard assessment |
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352 | (2) |
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14.5 Methods for landslides/debris flows forecasting: rainfall intensity-duration thresholds |
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354 | (7) |
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361 | (8) |
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362 | (5) |
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367 | (2) |
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369 | (22) |
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15.1 Hazard characteristics |
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370 | (2) |
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15.2 Remote sensing of snow avalanches |
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372 | (6) |
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378 | (4) |
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382 | (9) |
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384 | (1) |
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384 | (7) |
Index |
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391 | |