02375nam 2200553 450 991048012080332120180613001258.00-8218-9934-1(CKB)3360000000464049(EBL)3113652(SSID)ssj0000973192(PQKBManifestationID)11553106(PQKBTitleCode)TC0000973192(PQKBWorkID)10960088(PQKB)10044135(MiAaPQ)EBC3113652(PPN)19541019X(EXLCZ)99336000000046404920730522d1973 uy| 0engur|n|---|||||txtccrCanonical differential operators and lower-order symbols /Robert John Victor JacksonProvidence :American Mathematical Society,1973.1 online resource (246 p.)Memoirs of the American Mathematical Society ;number 135Description based upon print version of record.0-8218-1835-X Bibliography: pages 235.""TABLE OF CONTENTS""; ""ABSTRACT""; ""ACKNOWLEDGEMENTS""; ""INTRODUCTION""; ""PART I""; ""CHAPTER ONE: SYMBOLS""; ""Â1.0 Introduction""; ""Â1.1 Symbols of Pseudo-Differential Operators on Î©[sub(Â?)](X)""; ""Â1.2 Symbols of Partial Differential Operators on Î©[sub(Â?)](X)""; ""Â1.3 Sub-sub-principal Symbols""; ""CHAPTER TWO: SPECIAL CANONICAL OPERATORS""; ""Â2.0 Introduction""; ""Â2.1 Canonical Operators on ""Volume Preserving"" Manifolds""; ""Â2.2 The Laplace-Beltrami Operator on Î©[sub(k)](X)""; ""Â2.3 Self-Adjoint, Second-Order Operators on Î©[sub(Â?)](X)""; ""Â2.4 Conclusions""Memoirs of the American Mathematical Society ;no. 135.Manifolds (Mathematics)Pseudodifferential operatorsJet bundles (Mathematics)Electronic books.Manifolds (Mathematics)Pseudodifferential operators.Jet bundles (Mathematics)516/.36Jackson Robert John Victor874430MiAaPQMiAaPQMiAaPQBOOK9910480120803321Canonical differential operators and lower-order symbols1952473UNINA04307nam 2201093z- 450 991055742670332120231214133245.0(CKB)5400000000043457(oapen)https://directory.doabooks.org/handle/20.500.12854/76951(EXLCZ)99540000000004345720202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierUsing Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing WorldBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (216 p.)3-0365-2331-6 3-0365-2332-4 Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions on how to capitalize on state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.Research & information: generalbicsscrainfall monitoringremote sensingrain rate estimation5Gmillimeter-waveE-bandLOS-MIMOUAV remote sensingEphemeral riversflood peak dischargeincipient motionarid ungauged regionsflash floodIntegrated Multi-Satellite Retrievals for Global Precipitation MeasurementRainfall Triggering IndexYunnanecological water transferwetland vegetation ecosystemsurface and groundwater interactionnorthwestern ChinaWRF-3DVar data assimilationcoupled atmospheric-hydrologic systemrainfall-runoff predictionlumped Hebei modelgrid-based Hebei modelWRF-Hydro modeling systemevapotranspirationmodelSWATcalibrationregressionSierra Nevadaflux towerwater limitationvapor pressure deficitdouble-mass analysiscoefficient of variabilityseasonal ARIMAMK-S trend analysisevaporationLAINDVIurban ecosystemsponge cityPML-V2Penman–Monteith equationSentinel-2assimilation frequencydata assimilationWRF-3DAVRradar reflectivityrainfall forecasturban flooddesign rainfallungauged drainage basinRainyDayIDF formulahydrological predictionclimate changeland use changeResearch & information: generalZhang Yongqiangedt1297609Ryu DongryeoledtZheng DonghaiedtZhang YongqiangothRyu DongryeolothZheng DonghaiothBOOK9910557426703321Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World3024609UNINA