netcdf4-wasm

NetCDF4 library compiled to WebAssembly with JavaScript/TypeScript bindings.

Overview

This project provides a complete WebAssembly port of the NetCDF4 C library, enabling NetCDF file operations in browser and Node.js environments. It includes:

• Complete NetCDF4 C library compiled to WASM using Emscripten
• High-level TypeScript/JavaScript API
• Support for reading and writing NetCDF4 files
• Comprehensive test suite

Installation

npm install netcdf4-wasm

Prerequisites

For building from source, you'll need:

• Emscripten SDK
• CMake
• Make
• wget or curl

Check dependencies:

npm run check-deps

Install Emscripten locally:

npm run install-emscripten

Usage

The JavaScript API is modeled closely on the netcdf4-python API.

Basic Example

import { Dataset } from "netcdf4-wasm";
// or: import { NetCDF4 } from 'netcdf4-wasm';

async function example() {
  // Create a new NetCDF file (similar to Python netCDF4.Dataset)
  const nc = await Dataset("example.nc", "w", { format: "NETCDF4" });
  // or: const nc = await NetCDF4.Dataset('example.nc', 'w', { format: 'NETCDF4' });

  // Create dimensions
  const lat = await nc.createDimension("lat", 73);
  const lon = await nc.createDimension("lon", 144);
  const time = await nc.createDimension("time", null); // unlimited dimension

  // Create variables
  const temp = await nc.createVariable("temperature", "f4", [
    "time",
    "lat",
    "lon",
  ]);
  const times = await nc.createVariable("time", "f8", ["time"]);

  // Set variable attributes
  temp.units = "Kelvin";
  temp.long_name = "surface temperature";
  times.units = "hours since 0001-01-01 00:00:00.0";
  times.calendar = "gregorian";

  // Set global attributes
  nc.setncattr("description", "bogus example script");
  nc.setncattr("history", "Created " + new Date().toISOString());
  nc.setncattr("source", "netCDF4-wasm example");

  // Write data
  const tempData = new Float64Array(73 * 144);
  tempData.fill(288.0); // Fill with 288K
  await temp.setValue(tempData);

  // Close the file
  await nc.close();
}

Reading Files

import { Dataset } from "netcdf4-wasm";

async function readExample() {
  // Open existing file for reading
  const nc = await Dataset("data.nc", "r");

  // Access dimensions
  console.log("Dimensions:", Object.keys(nc.dimensions));
  console.log("Time dimension size:", nc.dimensions.time.size);

  // Access variables
  console.log("Variables:", Object.keys(nc.variables));
  const temp = nc.variables.temperature;

  // Read variable attributes
  console.log("Temperature units:", temp.units);
  console.log("Temperature long name:", temp.long_name);

  // Read data
  const data = await temp.getValue();
  console.log("Temperature data shape:", data.length);
  console.log("First few values:", data.slice(0, 5));

  // Access global attributes
  console.log("Global attributes:", nc.ncattrs());
  console.log("Description:", nc.getncattr("description"));

  await nc.close();
}

Alternative Constructor (Direct Instantiation)

import { NetCDF4 } from "netcdf4-wasm";

async function directExample() {
  // Direct instantiation (requires manual initialization)
  const nc = new NetCDF4("example.nc", "w", { format: "NETCDF4" });
  await nc.initialize();

  // Use same API as above...
  const lat = await nc.createDimension("lat", 10);
  const temp = await nc.createVariable("temperature", "f8", ["lat"]);

  await nc.close();
}

Working with Groups

async function groupExample() {
  const nc = await Dataset("grouped.nc", "w", { format: "NETCDF4" });

  // Create a group
  const forecasts = nc.createGroup("forecasts");

  // Create dimensions and variables in the group
  const time = await forecasts.createDimension("time", 24);
  const temp = await forecasts.createVariable("temperature", "f4", ["time"]);

  // Set group attributes
  forecasts.setncattr("description", "Forecast data");

  await nc.close();
}

API Reference

The API closely follows netcdf4-python conventions for ease of use by scientists familiar with Python.

Classes

NetCDF4

Main class for NetCDF file operations, similar to netCDF4.Dataset in Python.

Constructor

new NetCDF4(filename?: string, mode?: string, options?: NetCDF4WasmOptions)

Static Methods

• NetCDF4.Dataset(filename: string, mode?: string, options?: object): Promise<NetCDF4> - Factory method (Python-like)

Module Functions

• Dataset(filename: string, mode?: string, options?: object): Promise<NetCDF4> - Convenience function (import directly)

Properties

• dimensions: {[name: string]: Dimension} - Dictionary of dimensions
• variables: {[name: string]: Variable} - Dictionary of variables
• groups: {[name: string]: Group} - Dictionary of groups
• file_format: string - File format (e.g., 'NETCDF4')
• filepath: string - Path to the file
• isopen: boolean - Whether file is currently open

Methods

File Operations

• initialize(): Promise<void> - Initialize the WASM module
• close(): Promise<void> - Close the file
• sync(): Promise<void> - Flush data to disk

Structure Definition

• createDimension(name: string, size: number): Promise<Dimension> - Create dimension
• createVariable(name: string, datatype: string, dimensions: string[], options?: object): Promise<Variable> - Create variable
• createGroup(name: string): Group - Create hierarchical group

Attribute Access

• setncattr(name: string, value: any): void - Set global attribute
• getncattr(name: string): any - Get global attribute
• ncattrs(): string[] - List all global attributes

Variable

Represents a NetCDF variable, similar to Python's Variable class.

Properties

• name: string - Variable name
• datatype: string - Data type ('f4', 'f8', 'i4', etc.)
• dimensions: string[] - Dimension names
• units: string - Units attribute (convenience property)
• long_name: string - Long name attribute (convenience property)
• standard_name: string - Standard name attribute (convenience property)

Methods

• getValue(): Promise<Float64Array> - Read variable data
• setValue(data: Float64Array): Promise<void> - Write variable data
• setncattr(name: string, value: any): void - Set variable attribute
• getncattr(name: string): any - Get variable attribute
• ncattrs(): string[] - List variable attributes

Dimension

Represents a NetCDF dimension.

Properties

• name: string - Dimension name
• size: number - Dimension size
• isUnlimited: boolean - Whether dimension is unlimited

Methods

• __len__(): number - Get dimension size (Python-like)

Constants

The NC_CONSTANTS object provides NetCDF constants:

NC_CONSTANTS.NC_NOERR; // No error
NC_CONSTANTS.NC_NOWRITE; // Read-only access
NC_CONSTANTS.NC_WRITE; // Write access
NC_CONSTANTS.NC_CLOBBER; // Overwrite existing file
NC_CONSTANTS.NC_NETCDF4; // NetCDF4 format
NC_CONSTANTS.NC_DOUBLE; // Double data type
NC_CONSTANTS.NC_UNLIMITED; // Unlimited dimension

Building

Install dependencies

npm install

Check build dependencies

npm run check-deps

Build the project

npm run build

This will:

1. Download and compile zlib, HDF5, and NetCDF4 C libraries
2. Create the WASM module with Emscripten
3. Compile TypeScript bindings

Clean build artifacts

npm run clean

Testing

Run tests:

npm test

Run tests with coverage:

npm run test:coverage

Watch mode:

npm run test:watch

Development

Project Structure

netcdf4-wasm/
├── src/                    # TypeScript source code
│   ├── index.ts           # Main API exports
│   ├── types.ts           # Type definitions
│   ├── constants.ts       # NetCDF constants
│   ├── netcdf4.ts         # Main NetCDF4 class
│   ├── group.ts           # Group class
│   ├── variable.ts        # Variable class
│   ├── dimension.ts       # Dimension class
│   ├── wasm-module.ts     # WASM module loader
│   └── __tests__/         # Test files
├── scripts/               # Build scripts
│   ├── build-wasm.sh     # Main WASM build script
│   ├── check-dependencies.sh
│   └── install-emscripten.sh
├── bindings/              # WASM bindings
│   ├── pre.js            # Pre-run JavaScript
│   └── post.js           # Post-run JavaScript
├── build/                 # Build artifacts (generated)
├── dist/                  # Distribution files (generated)
└── package.json

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests for new functionality
5. Run the test suite
6. Submit a pull request

License

MIT License - see LICENSE file for details.

NetCDF4 Documentation

For more information about NetCDF4, visit: https://docs.unidata.ucar.edu/netcdf-c/current/

Troubleshooting

WASM Module Not Found

Make sure the WASM files are properly built and accessible:

npm run build:wasm

Emscripten Not Found

Install Emscripten:

npm run install-emscripten
source build/emsdk/emsdk_env.sh

Memory Issues

If you encounter memory-related errors, try increasing the initial memory:

const netcdf = new NetCDF4({ memoryInitialPages: 512 });