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This document outlines the methods for processing data on microphysical properties of precipitation for submission to ITU-R Study Group 3 experimental database, based on measurements from disdrometers and precipitation radars.
Year: 2022
Region / city: Global
Subject: Meteorology, Precipitation
Document Type: Technical Report
Organization: ITU-R Study Group 3
Author: Working Party 3J
Target Audience: Meteorologists, Atmospheric Scientists, Engineers
Period of validity: Not specified
Approval Date: 14 June 2022
Date of Changes: Not specified
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ITWCVPGIS Training Day 4: Map Making – Production-Level Seasonal Precipitation Forecast Maps
Year: Not specified
Program: ITWCVPGIS Training
Day: 4
Objective: Make production level maps with real-time forecasts
Task: Replicate seasonal precipitation forecast maps over selected region
Data Sources: NOAA CPC International Desk NMME probabilistic seasonal forecast; ne_10m_admin0_countries; ne_10m_ocean
Geographic Scope: User-defined region of interest
Software: GIS application supporting shapefiles and geoprocessing tools
File Created: forecasts.shp
Map Elements: Boundary map, ocean layer, forecast polygons, intersection layer
Output Format: PDF and PNG
Forecast Categories: Above-normal, Near-normal, Below-normal precipitation
Forecast Probabilities: 33%, 40%, 50%, 60%
Methodology: Polygon creation, snapping configuration, attribute assignment, geoprocessing intersection, rule-based styling
A Review of Data Mining Techniques for Precipitation Forecasting in Agriculture
Authors: Vineeta Prakaulya; Prof. Roopesh Sharma; Upendra Singh; Ravikant Itare
Affiliation: Patel College of Science and Technology, Indore
Department: Computer Science and Engineering (CSE)
Document Type: Review Article
Subject Area: Data Mining and Climate Forecasting
Keywords: Data mining, agriculture, soil fertility, crop yield, ANNs, FIS, LVQ, bi clustering
Geographical Focus: India
Thematic Focus: Precipitation prediction and agricultural productivity
Methods Discussed: Artificial Neural Networks (ANNs), Fuzzy Inference System (FIS), Decision Tree (SLIQ), Time Series Analysis, Learning Vector Quantization (LVQ), Support Vector Machine (SVM), Bi-clustering
Data Scope: Historical precipitation data including 45-year monsoon records and monthly precipitation series (1956–2008)
Intended Audience: Researchers and practitioners in data mining, meteorology, and agricultural management
Improved parameterization of precipitation fluxes in the GPM combined algorithm to mitigate ground clutter effects
Year: 2021
Region / City: Global
Topic: Precipitation measurement, Ground clutter, Radar data
Document Type: Research Paper
Organization / Institution: NASA GSFC, SSAI, UMBC
Authors: Mircea Grecu, David T. Bolvin, Gerald Heymsfield, Stephen Lang, Stephen Nicholls, William S. Olson
Target Audience: Researchers in meteorology, Remote sensing professionals
Period of Validity: Ongoing research
Approval Date: N/A
Modification Date: N/A
Note: Contextual Description
A hybrid parametrisation for precipitation probability of exceedance data
Year: 2023
Region / city: Australia
Topic: Precipitation probability of exceedance
Document type: Research Report
Institution: Bureau of Meteorology
Author: Bureau of Meteorology Research Team
Target audience: Agricultural producers, planning authorities
Period of validity: Not specified
Approval date: Not specified
Date of changes: Not specified
Why future shifts in tropical precipitation will likely be small (<1° latitude)
Year: 2026
Region: Tropical regions, global
Topic: Climate science, atmospheric circulation, precipitation
Document type: Research article
Institution: University or research institution (implied from authorship)
Authors: Aaron Donohoe, Aiko Voigt
Target audience: Climate scientists, meteorologists, environmental researchers
Time period analyzed: Seasonal to multi-decadal climate patterns
Date of publication: 2026
Methodology: Analysis of ITCZ shifts, hemispheric energy contrasts, climate model simulations
Key phenomena: Intertropical Convergence Zone (ITCZ), Hadley circulation, tropical precipitation patterns
Climate forcings: Anthropogenic CO₂ increase, paleoclimatic variability
Spatial focus: Pacific, Indian monsoon regions, South-East Asia, Australia, Northern Africa
Data type: Climatological observations, model simulations
Precision™ Series Spray Nozzles with H2O Chip Technology 1”/hr. Matched Precipitation Bidding Specification
Note: Year
Organization / Institution: Toro Company, Irrigation Division
Topics: Fascicle microphysical precipitation