AgriMetSoft

Various software packages related to meteorology, agriculture, and climate science are developed, maintained, and supported by Agrimetsoft. In addition, we create free training courses on YouTube. You can also order services related to these mentioned concepts.

Products Upcoming Bundles

Statistical downscaling methods



SD-GCM

Downscale CMIP5/CMIP6 (or other gridded) climate data with Delta, Quantile-Mapping, or Empirical-Quantile-Mapping methods—just provide the NetCDF archives and matching station observations.

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Commercial
Taylor Diagram Tool

Taylor Diagram Software

Plot correlation, standard deviation, and CRMSE in one Taylor diagram to assess how closely multiple models match observations at a glance.

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Commercial
Open NC File Tool


Open NC File


Extract time-series or gridded data from multiple NetCDF/nc4 files—including CORDEX rotated-pole grids—via station lists or bounding boxes. Supports unlimited dimensions and auto-converts regular to rotated latitude–longitude.

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Commercial
non-rotated and rotated coordinates

Cordex Coordinate Rotation

Convert regular latitude-longitude to CORDEX rotated coordinates—or back again—for any domain, then feed the output straight into NetCDF extraction scripts or the site’s Netcdf Extractor tool.

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Free
IDF Curve Tool

IDF Curve Tool

Build intensity-duration-frequency curves from 5-minute to daily rainfall. Enter raw data or maxima, compute return periods, and export IDF tables and charts directly to Excel.


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Commercial
DMAP

DMAP

Compute 20+ drought indices for meteorological, agricultural, and hydrological droughts from station Excel files or NetCDF grids—map severity and export every result to Excel.




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Commercial
Data-Tool

Data-Tool

Excel add-in for fast data reshaping, daily-to-seasonal aggregation, and on-click statistics (RMSE, NSE, MAE). Plot CDF/PDF, run multiple-linear regression, and trend tests—all inside Excel.

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Commercial
KNN-WG

KNN-WG

Generate daily weather series with a K-nearest-neighbor engine for up to seven variables. View interactive graphs, compute efficiency metrics (NSE, RMSE, Pearson, Spearman), and compare outputs with other models.

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Commercial
MODIS Product Extractor

MODIS Product Extractor

Extract point or regional data from MODIS HDF products, save results to Excel, and /div> work with free-draw map polygons, coordinate lists, or bounding boxes.

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Commercial
Model Analyzer Tool

Model Analyzer Tool

Diagnose model skill with QQ-plots, confidence/prediction bounds, residual autocorrelation checks, and auto-computed metrics (MAE, RMSE, NSE) in one Excel-based dashboard.


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Commercial
Estimating Missing Climate Data

Estimating Missing Climate Data

Fill gaps with station-to-station methods (MLR, IDW, ANN) or single-station techniques (LOCF, interpolation, substitute stats) in one streamlined workflow.

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Commercial
Thiessen Polygon Tool

Thiessen Polygon Tool

Create Voronoi polygons to weight rain-gauge areas and compute spatial-average rainfall or other point-based variables in a click.

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Commercial
Ensemble GCMs Models

Ensemble GCMs Models

Ensemble Global Climate Models (GCMs) refer to a collection of multiple climate models employed to simulate and forecast the behavior of Earth's climate system. This powerful tool involves combining several GCM models using various methods, allowing for a comprehensive assessment of climate predictions and associated uncertainties. By employing ensembles, scientists can gain insights into the range of potential outcomes and improve the reliability of climate projections.

Phase: Developing Tool
Power-spectral-density

Power-spectral-density (PSD) Analysis

In climate science, Power Spectral Density (PSD) analysis is a method used to study the frequency characteristics of climate time series data. It is a valuable tool for understanding the dominant frequencies and periodicities present in climatic data, which can provide insights into the underlying climate processes and variability.




Phase: Research About Methods
Taylor Diagram Tool

Wavelet ANN Model

The Wavelet Artificial Neural Network (Wavelet ANN) model is a hybrid approach that combines the mathematical framework of wavelet analysis with the powerful learning capabilities of artificial neural networks (ANNs). This model is commonly used for various types of data analysis and forecasting tasks, including time series prediction, image processing, and signal analysis. Our software includes two hybrid models of Wavelet and ANN based on the above flowcharts.

Phase: Writing Research Paper
Non-Stationary IDF

Non-Stationary IDF

Non-stationary Intensity-Duration-Frequency (IDF) analysis is a concept in hydrology and climatology that takes into account changes in the statistical properties of extreme precipitation events over time. The traditional approach for estimating IDF curves assumes that the statistical characteristics of extreme rainfall, such as intensity, duration, and frequency, remain constant over time. However, with climate change and other environmental factors affecting weather patterns, this assumption of stationarity may no longer hold true. This tool is designed to perform Non-stationary Intensity-Duration-Frequency (IDF) analysis by considering changes in extreme precipitation characteristics over time.


Phase: Developing Tool
Taylor Diagram Tool

SCS-Runoff-Curve-Number-Method

The Soil Conservation Service (SCS) Runoff Curve Number (RCN) Method, also known as the NRCS (Natural Resources Conservation Service) Curve Number Method, is a widely used hydrological technique for estimating direct runoff from rainfall events in a watershed. The method was developed by the United States Department of Agriculture's Soil Conservation Service, now known as the Natural Resources Conservation Service, and is commonly applied in hydrology, engineering, and land management practices. This is a simple tool to calculate estimating direct runoff from rainfall events in a watershed based on SCS-Runoff-Curve-Number-Method




Phase: Make Tutorials
Taylor Diagram Tool

Trend Test Software

In this tool, you can input monthly climate data, and the tool will convert it into seasonal, season12, discrete all season12 items, and yearly data. The next step is to check the autocorrelation with a one-item lag to determine which method is suitable. The tool offers four methods to calculate the data trend on all time scales and wavelet components (approximation and details, and their composition). These methods include:

  • Simple Mann-Kendall
  • Seasonal Mann-Kendall
  • Serial Correlation Mann-Kendall
  • Sequential Mann-Kendall

Using these methods, the tool helps you analyze trends and patterns in your climate data at various time scales and wavelet components, making it a powerful tool.

Phase: Writting Research Paper
Weather ata Sorter

Weather Data Sorter

These tools calculate the indices that offer valuable insights into various aspects of climate and weather conditions and are commonly used by meteorologists, hydrologists, and climate scientists for analyzing climate patterns and understanding potential impacts on various sectors like agriculture, water resources, and energy demand. These indices are climate-related measures commonly used in climate analysis and impact studies. Each index represents a specific aspect of the climate or weather conditions. These indices is:

  • Growing Degree Days (GDD)
  • Cooling Degree Days (CDD)
  • Heating Degree Days (HDD)
  • Wet Day
  • Number of Frost Days (N. Frost Day)
  • Consecutive Dry Days
  • Consecutive Wet Days
  • Annual Count of Rainy Days
  • Annual Count of Days With Precipitation Larger Than Value
  • Highest 5-day Precipitation Amount for Each Year
  • Simple Precipitation Intensity Index
Phase: Developing Tool