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Evaluation and Improvement of Hydrological Simulations and Forecasts in the Western U.S- [electronic resource]
Evaluation and Improvement of Hydrological Simulations and Forecasts in the Western U.S - ...
Evaluation and Improvement of Hydrological Simulations and Forecasts in the Western U.S- [electronic resource]

상세정보

자료유형  
 학위논문파일 국외
최종처리일시  
20240214101920
ISBN  
9798380590211
DDC  
910
저자명  
Su, Lu.
서명/저자  
Evaluation and Improvement of Hydrological Simulations and Forecasts in the Western U.S - [electronic resource]
발행사항  
[S.l.]: : University of California, Los Angeles., 2023
발행사항  
Ann Arbor : : ProQuest Dissertations & Theses,, 2023
형태사항  
1 online resource(173 p.)
주기사항  
Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
주기사항  
Advisor: Lettenmaier, Dennis P.
학위논문주기  
Thesis (Ph.D.)--University of California, Los Angeles, 2023.
사용제한주기  
This item must not be sold to any third party vendors.
초록/해제  
요약Droughts and floods are among the most catastrophic yet least understood weather and climate threats. Accurate forecasting of droughts and floods is crucial due to their significant financial and human impacts. Concurrently, precise streamflow simulation is critical for effective water management and disaster prevention. The subseasonal drought forecast, vital for water management and disaster mitigation, has been under-studied due to a lack of appropriate meteorological forecast databases until recently. The NOAA's National Water Model (NWM), anchored by its hydrological core Noah Multi-parameterization (Noah-MP), needs a comprehensive comparison with SAC-SMA model-based River Forecast Center (RFC) forecasts to evaluate its flood forecasting efficiency in the Western United States. Accurate daily streamflow predictions are crucial, and a comprehensive, calibrated Land Surface Model (LSM) parameter set is important for reliable streamflow predictions.This dissertation explores evaluations and enhancements of hydrological simulations and forecasts in the Western U.S., with a focus on three key aspects: a) subseasonal forecast accuracy for drought onset and termination using NOAA's Climate Testbed Subseasonal Experiment (SubX) reforecasts, b) the flood forecasting capabilities of the Noah-MP in comparison to current RFC forecasts, and c) the development of high-resolution calibrated parameters for two notable LSMs, the Variable Infiltration Capacity (VIC) model and Noah-MP. For the first aspect, I employ SubX to drive Noah-MP and produce drought forecasts of different severity and for lead weeks 1-4. I find significant drought termination and onset forecast skill within the initial two weeks and limited skill or no skill at week 4 regardless of drought severity. I find that skill is generally higher for drought termination than for onset for all drought events and that drought prediction skill generally decreases from north to south for all drought events. For the second aspect, I start with selection of appropriate physics options for Noah-MP and calibration of parameters in seven watersheds that form a transect along the U.S. Pacific Coast. I find promising flood prediction capacities of Noah-MP in northern basins but requires refinement for southern basins both in terms of bias and variability. For the third aspect, I develop calibrated and regionalized hydrologic parameters for VIC and Noah-MP at a precision of 1/16° latitude-longitude resolution across 4816 HUC-10 basins in the Western U.S., aiming to enhance the accuracy of hydrological modeling and predictions. In summary, the dissertation provides important contributions to understanding and improving the hydrological simulation and forecast in the Western U.S.
일반주제명  
Geography.
일반주제명  
Hydrologic sciences.
일반주제명  
Geographic information science.
일반주제명  
Meteorology.
키워드  
Drought
키워드  
Flood
키워드  
Hydrological forecast
키워드  
Hydrological simulation
키워드  
Land surface model
키워드  
Noah Multi-parameterization
기타저자  
University of California, Los Angeles Geography 0396
기본자료저록  
Dissertations Abstracts International. 85-04B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
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MARC

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■001000016935340
■00520240214101920
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798380590211
■035    ▼a(MiAaPQ)AAI30690109
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a910
■1001  ▼aSu,  Lu.
■24510▼aEvaluation  and  Improvement  of  Hydrological  Simulations  and  Forecasts  in  the  Western  U.S▼h[electronic  resource]
■260    ▼a[S.l.]:▼bUniversity  of  California,  Los  Angeles.  ▼c2023
■260  1▼aAnn  Arbor  :▼bProQuest  Dissertations  &  Theses,  ▼c2023
■300    ▼a1  online  resource(173  p.)
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-04,  Section:  B.
■500    ▼aAdvisor:  Lettenmaier,  Dennis  P.
■5021  ▼aThesis  (Ph.D.)--University  of  California,  Los  Angeles,  2023.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■520    ▼aDroughts  and  floods  are  among  the  most  catastrophic  yet  least  understood  weather  and  climate  threats.  Accurate  forecasting  of  droughts  and  floods  is  crucial  due  to  their  significant  financial  and  human  impacts.  Concurrently,  precise  streamflow  simulation  is  critical  for  effective  water  management  and  disaster  prevention.  The  subseasonal  drought  forecast,  vital  for  water  management  and  disaster  mitigation,  has  been  under-studied  due  to  a  lack  of  appropriate  meteorological  forecast  databases  until  recently.  The  NOAA's  National  Water  Model  (NWM),  anchored  by  its  hydrological  core  Noah  Multi-parameterization  (Noah-MP),  needs  a  comprehensive  comparison  with  SAC-SMA  model-based  River  Forecast  Center  (RFC)  forecasts  to  evaluate  its  flood  forecasting  efficiency  in  the  Western  United  States.  Accurate  daily  streamflow  predictions  are  crucial,  and  a  comprehensive,  calibrated  Land  Surface  Model  (LSM)  parameter  set  is  important  for  reliable  streamflow  predictions.This  dissertation  explores  evaluations  and  enhancements  of  hydrological  simulations  and  forecasts  in  the  Western  U.S.,  with  a  focus  on  three  key  aspects:  a)  subseasonal  forecast  accuracy  for  drought  onset  and  termination  using  NOAA's  Climate  Testbed  Subseasonal  Experiment  (SubX)  reforecasts,  b)  the  flood  forecasting  capabilities  of  the  Noah-MP  in  comparison  to  current  RFC  forecasts,  and  c)  the  development  of  high-resolution  calibrated  parameters  for  two  notable  LSMs,  the  Variable  Infiltration  Capacity  (VIC)  model  and  Noah-MP.  For  the  first  aspect,  I  employ  SubX  to  drive  Noah-MP  and  produce  drought  forecasts  of  different  severity  and  for  lead  weeks  1-4.  I  find  significant  drought  termination  and  onset  forecast  skill  within  the  initial  two  weeks  and  limited  skill  or  no  skill  at  week  4  regardless  of  drought  severity.  I  find  that  skill  is  generally  higher  for  drought  termination  than  for  onset  for  all  drought  events  and  that  drought  prediction  skill  generally  decreases  from  north  to  south  for  all  drought  events.  For  the  second  aspect,  I  start  with  selection  of  appropriate  physics  options  for  Noah-MP  and  calibration  of  parameters  in  seven  watersheds  that  form  a  transect  along  the  U.S.  Pacific  Coast.  I  find  promising  flood  prediction  capacities  of  Noah-MP  in  northern  basins  but  requires  refinement  for  southern  basins  both  in  terms  of  bias  and  variability.  For  the  third  aspect,  I  develop  calibrated  and  regionalized  hydrologic  parameters  for  VIC  and  Noah-MP  at  a  precision  of  1/16°  latitude-longitude  resolution  across  4816  HUC-10  basins  in  the  Western  U.S.,  aiming  to  enhance  the  accuracy  of  hydrological  modeling  and  predictions.  In  summary,  the  dissertation  provides  important  contributions  to  understanding  and  improving  the  hydrological  simulation  and  forecast  in  the  Western  U.S.
■590    ▼aSchool  code:  0031.
■650  4▼aGeography.
■650  4▼aHydrologic  sciences.
■650  4▼aGeographic  information  science.
■650  4▼aMeteorology.
■653    ▼aDrought
■653    ▼aFlood
■653    ▼aHydrological  forecast
■653    ▼aHydrological  simulation
■653    ▼aLand  surface  model
■653    ▼aNoah  Multi-parameterization
■690    ▼a0366
■690    ▼a0388
■690    ▼a0557
■690    ▼a0370
■71020▼aUniversity  of  California,  Los  Angeles▼bGeography  0396.
■7730  ▼tDissertations  Abstracts  International▼g85-04B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0031
■791    ▼aPh.D.
■792    ▼a2023
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16935340▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202402▼f2024

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