[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wang et al., 2014 - Google Patents

Distributional change of monthly precipitation due to climate change: comprehensive examination of dataset in southeastern United States

Wang et al., 2014

Document ID
9775565716594630672
Author
Wang H
Killick R
Fu X
Publication year
Publication venue
Hydrological Processes

External Links

Snippet

A number of watersheds are selected from the Hydro‐Climate Data Network over southeastern United States to examine possible changes in hydrological time series, eg precipitation, introduced by changing climate. Possible changes in monthly precipitation are …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202Market predictions or demand forecasting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/26Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
    • G01N33/28Oils, i.e. hydrocarbon liquids
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06Investment, e.g. financial instruments, portfolio management or fund management

Similar Documents

Publication Publication Date Title
McMillan et al. Hydrological data uncertainty and its implications
Saft et al. Bias in streamflow projections due to climate‐induced shifts in catchment response
Tosunoglu et al. Trend analysis of maximum hydrologic drought variables using Mann–Kendall and Şen's innovative trend method
Ayantobo et al. Spatial comparability of drought characteristics and related return periods in mainland China over 1961–2013
Wu et al. Evaluating uncertainty estimates in distributed hydrological modeling for the Wenjing River watershed in China by GLUE, SUFI-2, and ParaSol methods
El Adlouni et al. Generalized maximum likelihood estimators for the nonstationary generalized extreme value model
De Leeuw et al. Evaluation of ERA‐Interim reanalysis precipitation products using England and Wales observations
Szolgayova et al. Factors influencing long range dependence in streamflow of European rivers
Juston et al. Rating curve uncertainty and change detection in discharge time series: Case study with 44‐year historic data from the Nyangores River, Kenya
Ocio et al. The role of rating curve uncertainty in real‐time flood forecasting
Zeng et al. Effects of climate change and human activities on surface runoff in the Luan River Basin
Nester et al. Flood forecast errors and ensemble spread—A case study
Rostamian et al. Application of standardised precipitation index for predicting meteorological drought intensity in Beheshtabad watershed, central Iran
Birkel et al. Assessing the value of high‐resolution isotope tracer data in the stepwise development of a lumped conceptual rainfall–runoff model
Unnikrishnan et al. Extraction of nonlinear rainfall trends using singular spectrum analysis
Wang et al. Distributional change of monthly precipitation due to climate change: comprehensive examination of dataset in southeastern United States
Das et al. Distribution choice for the assessment of design rainfall for the city of London (Ontario, Canada) under climate change
Islam et al. Hydrological response to climate change of the Brahmaputra basin using CMIP5 general circulation model ensemble
Li et al. Drought propagation patterns under naturalized condition using daily hydrometeorological data
Dobler et al. Global sensitivity analyses for a complex hydrological model applied in an Alpine watershed
Amodei et al. Verification of the French operational high‐resolution model AROME with the regional Brier probability score
Das et al. Evaluating the accuracy of two satellite-based Quantitative Precipitation Estimation products and their application for meteorological drought monitoring over the Lake Victoria Basin, East Africa
Faiz et al. Complexity and trends analysis of hydrometeorological time series for a river streamflow: A case study of S onghua R iver B asin, C hina
Schlef et al. Comparing flood projection approaches across hydro‐climatologically diverse United States river basins
Özger et al. Seasonal and spatial variations in the scaling and correlation structure of streamflow data