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imdR

Download, Process and Visualize IMD Gridded Meteorological Data

Interface to India Meteorological Department (IMD) gridded daily rainfall (0.25 degree, 1901-present) and temperature (1.0 degree, 1951-present) binary data. Provides functions to download, read, extract by point or boundary, compute climate indices, perform trend analysis, and produce publication-quality maps with Survey of India approved boundaries.

README

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# imdR

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**imdR** is an R package for downloading, processing, and visualizing
India Meteorological Department (IMD) gridded daily meteorological data.
It provides a complete pipeline from raw binary data to climate indices,
trend analysis, and publication-quality maps — all within R.

## What makes imdR different

- **SOI-approved boundaries bundled** — state and district level maps
  with Survey of India shapefiles, ready to use with no extra downloads
- **State and district extraction** — mask any IMD raster to any of 36
  states or 808 districts in one line
- **Complete pipeline** — download → extract → indices → trends → maps
- **No Python required** — pure R implementation with additional
  capabilities beyond existing tools

## Data coverage

| Variable            | Resolution  | Period          |
|---------------------|-------------|-----------------|
| Rainfall            | 0.25 degree | 1901 to present |
| Maximum temperature | 1.0 degree  | 1951 to present |
| Minimum temperature | 1.0 degree  | 1951 to present |

## Installation

``` r
# Install from CRAN
install.packages("imdR")

# Or install the development version from GitHub
install.packages("remotes")
remotes::install_github("Subhradip25/imdR")
```

## Quick start

``` r
library(imdR)

file_dir <- tempdir()

# Download 2020 rainfall data
rain2020 <- get_data("rain", 2020, 2020, file_dir)

# Plot a single day — full India map with SOI boundaries
plot_imd(rain2020, "2020-06-28", "rain")

# Zoom to Kerala
plot_imd(rain2020, "2020-06-28", "rain",
         level = "state", name = "Kerala")

# Extract daily time series at Panaji, Goa
goa_ts <- get_point(lat = 15.5, lon = 73.8,
                    variable = "rain",
                    start_yr = 2020, end_yr = 2020,
                    file_dir = file_dir)

# Plot time series with 30-day rolling mean
plot_timeseries(goa_ts, variable = "rain",
                title = "Goa Daily Rainfall 2020")

# Compute rainfall indices for Goa
goa_idx <- compute_rainfall_indices(rain2020,
                                    level    = "state",
                                    name     = "Goa",
                                    file_dir = file_dir)
print(goa_idx)
```

## Functions

| Function                     | Description                             |
|------------------------------|-----------------------------------------|
| `get_data()`                 | Download and read IMD binary data       |
| `open_data()`                | Read cached IMD data from disk          |
| `get_point()`                | Extract daily time series at a point    |
| `get_point_all()`            | Extract all variables at a point        |
| `get_bbox()`                 | Extract data within a bounding box      |
| `extract_by_boundary()`      | Mask data to a state or district        |
| `list_states()`              | List all 36 states and UTs              |
| `list_districts()`           | List districts, optionally by state     |
| `get_boundary()`             | Get sf boundary for a state or district |
| `plot_imd()`                 | Publication-quality daily map           |
| `plot_timeseries()`          | Daily time series with rolling mean     |
| `compute_rainfall_indices()` | 11 rainfall climate indices             |
| `compute_temp_indices()`     | 13 temperature climate indices          |
| `trend_analysis()`           | Mann-Kendall test and Sen’s slope       |

## Climate indices

**Rainfall (11):** dr, d64, d115, rx1day, rx5day, rtwd, sdii, total,
cwd, cdd, pci

**Temperature (13):** mean_tmax, mean_tmin, mean_dtr, txx, txn, tnx,
tnn, su35, su40, tr10, tr25, wsdi, csdi

## Bundled boundaries

imdR includes Survey of India (SOI) approved administrative boundaries
for all 36 Indian states and union territories and 808 districts, ready
to use with no additional downloads.

``` r
# List all states
list_states()

# List districts in any state
list_districts("Kerala")

# Get sf boundary object
goa <- get_boundary("state", "Goa")
```

## Data source

IMD gridded data: India Meteorological Department, Pune.
<https://imdpune.gov.in> (accessed periodically; server may be
temporarily unavailable)

Boundaries: Survey of India (SOI)

## Citation

``` r
citation("imdR")
```

## Authors

- Subhradip Bhattacharjee (maintainer)
- Amitava Panja
- Ankita Chakraborty
- Basavareddy

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 imdR_0.1.1.tar.gz 3.6 MiB
0.1.1 rolling linux/noble R-4.5 imdR_0.1.1.tar.gz 4.6 MiB
0.1.1 rolling source/ R- imdR_0.1.1.tar.gz 3.6 MiB
0.1.1 latest linux/jammy R-4.5 imdR_0.1.1.tar.gz 3.6 MiB
0.1.1 latest linux/noble R-4.5 imdR_0.1.1.tar.gz 4.6 MiB
0.1.1 latest source/ R- imdR_0.1.1.tar.gz 3.6 MiB
0.1.1 2026-04-23 source/ R- imdR_0.1.1.tar.gz 0 B

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