Search Results for "grid"

SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting...

Allows viewing and editing of weather data from weather models as two dimensional grids. Python scripting support hooks in the ingest, editing and product creation subsystems allow for customization. All network communication made through HTTP services. Enhanced version of the system used by national weather services.

A python-based system to diagnosis and make weather maps (wxmap) of numerical weather prediction models using the Grid Analysis and Display System (GrADS) from opengrads.org

***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** Within the SIROCCO suite of numerical tools, the purpose of SDAP is to provide a flexible platform to carry out multivariate assimilation of geophysical data in a numerical model. The program is multi-grid (finite differences or finite elements), multi-algebra (plug-in analysis kernels), multi-model (simple standardized interface). The program supports reduced-order data assimilation methods, as well as Ensemble assimilation approaches such as the Ensemble Kalman Filter. Recent additions include extensions towards simultaneous assimilation and downscaling (AMICO project), and a toolbox for ensemble assessment (SCRUM project).

The Grid Analysis and Display System (GrADS) is an interactive desktop tool for easy access, manipulation, and visualization of earth science data. The OpenGrADS Project seeks to develop advanced interfaces and extensions based on the main GrADS engine.

GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug.

...This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm. It outputs three-dimensional, layered discrete models from which time series and equal-time GIS Grid layers can be extracted.

MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Grid data and perform Spatial, Fractal, Network analysis and simulation.

We've moved to Gitlab! (gitlab.com/remikz/nccmp) Compares two NetCDF files in-place to find specific variables, dimensions and/or attributes that differ. Highly recommended for any test-driven environment and regression testing large datasets.

Tunelator processes tunnel profile data for surveying work. It provides a powerfull grid editor, 3D preview, export to Prowin, Ispol, MDT and DXF (2D and 3D views with convenient layering).

Meteorologists use the FPA to create a series of weather charts, known as depictions, that show weather fields over a sequence of times. The weather fields can contain grid point data or sets of areas, lines or scattered points. The weather depictions are not just graphical displays, but windows into an object database. By connecting processes to the database, forecast offices can automatically generate forecast products or run local models, while spending more of their time on weather analysis, diagnosis and prognosis.

NG-TEPHRA is a volcanic simulation framework derived from TEPHRA, an ash dispersion simulation developed by Chales Connor at University of South Florida and Adapted thoroughly to fit in a Grid-friendly environment.

SPIDR (Space Physics Interactive Data Resource) is a distributed database and application server network, built to select, visualize and model historical space weather data. SPIDR is a web-application and a grid of data mining web-services.

The project aims to make publishing of wildlife survey data easier using PHP Mapscript. By uploading survey or sightings data the user will be presented with a generalization map based on the Quarter Degree Grid Cell system.

Seismic Wave Propagation in 2D acoustic or elastic media using the following methods: Staggered-Grid Finite Difference Method, Spectral Element Method, Interior-Penalty Discontinuous Galerkin Method, and Isogeometric Method.