A comparison of three methods for downscaling daily precipitation in the Punjab region

Hydrological Processes

Volumn 25, Issue 23, 2011, Pages 3575-3589

  Raje, Deepashree ^a   Mujumdar, P P ^b  

^a INDIAN INSTITUTE OF TROPICAL METEOROLOGY   (India)

^b INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Comparison; Downscaling; Monsoon; Precipitation; Punjab

Indexed keywords

ATMOSPHERIC VARIABLES; COMPARISON; CONDITIONAL RANDOM FIELD; DAILY RAINFALL; DAILY RAINFALL AMOUNTS; DOWN-SCALING; DOWNSCALING METHODS; DRY AND WET; GENERAL CIRCULATION MODEL; GIVEN FEATURES; GLOBAL CLIMATE MODEL; HYDROLOGICAL IMPACTS; HYDROLOGICAL VARIABLES; INTERSITE CORRELATION; K NEAREST NEIGHBOURS (K-NN); LENGTH DISTRIBUTIONS; MACHINE-LEARNING; MODEL PERFORMANCE; MONSOON; MONSOON REGIMES; NON-LINEAR RELATIONSHIPS; PROBABILISTIC FRAMEWORK; PUNJAB; RANDOM SAMPLING; SVM MODEL; TRAINING DATA; TRAINING EXAMPLE; WEIGHTED SET; WET AND DRY;

ATMOSPHERIC THERMODYNAMICS; CLIMATE CHANGE; COMPUTER SIMULATION; IMAGE RETRIEVAL; IMAGE SEGMENTATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RAIN;

CLIMATE MODELS;

CLIMATE MODELING; DOWNSCALING; GLOBAL CLIMATE; HYDROLOGY; MONSOON; NUMERICAL MODEL; PATTERN RECOGNITION; PRECIPITATION ASSESSMENT; PROBABILITY DENSITY FUNCTION; RAINFALL; STATISTICAL ANALYSIS;

INDIA; PUNJAB [INDIA];

EID: 80054870839     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.8083     Document Type: Article

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