№ files_lp_3_process_9_01744
File format: docx Character count: 2181 File size: 19 KB
Training instruction document outlining procedures for creating and styling seasonal precipitation forecast maps using probabilistic NMME data and GIS polygon and intersection workflows.
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
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.

Don’t have cryptocurrency yet?

You can still complete your purchase in a few minutes:
  1. Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
  2. In the app, tap Send.
  3. Select network, paste our wallet address.
  4. Send the exact amount shown above.
After sending, paste your TXID (transaction ID) and your email to receive the download link. Need help? Contact support and we’ll guide you step by step.

The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
Fascicle on the processing of data on microphysical properties of precipitation for the Study Group 3 experimental database
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
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: ITWCVPGIS Production-Level precipitation