nClimGrid Explorer

Climate Extremes

Maximum Temperature

Minimum Temperature

Precipitation

Social Vulnerability Index

Overall SVI

Socioeconomic

Household

Minority Status

Housing/Transport

Select Date

Select Boundary

Climate Variable

Maximum Temperature

Minimum Temperature

Average Temperature

Precipitation

SVI Year

Download Data

Download nClimGrid File

Data Preview

Summary Statistics

Time Series Preview

Geographic Region

Region Type:

Select Regions:

Filter by State:

Time Period

Date Range:

Variables

Climate Variables:

Max Temperature (Tmax)

Min Temperature (Tmin)

Avg Temperature (Tavg)

Precipitation (Prcp)

Weight Type:

Non-Weighted

SVI-Weighted

Export Options

Data Format:

Long Format (dates as rows)

Wide Format (dates as columns)

Include Metadata Header

Climate Circle Visualization

Long-term Trend Analysis

Seasonal Pattern Evolution

Climate by SVI Class

Geographic Region

Region Type:

Select Region:

Filter by State:

Climate Variable

Select Variable:

Max Temperature

Min Temperature

Avg Temperature

Precipitation

Rolling Window (days):

Baseline Settings

Baseline Period:

The baseline period is used for calculating anomalies in the decomposition analysis.

Generate Analysis

About nClimGrid Explorer

Climate Data and Social Vulnerability Integration

Exploring the intersection of climate extremes and vulnerable populations

Developed by ISciences, LLC with funding from the ESIP Lab grant program

Project Overview

Climate change is increasing the frequency and severity of extreme weather events, making it vital to understand current climatic conditions, compare them to historical baselines, and identify vulnerable populations. The nClimGrid Explorer addresses this challenge by providing tools to access, analyze, and visualize NOAA's nClimGrid-Daily dataset and integrate it with NASA's U.S. Social Vulnerability Index (SVI) Grid data.

This application was developed by ISciences, LLC with funding support provided through the Earth Science Information Partners (ESIP) Lab grant program. Following open science principles, this application makes advanced climate-vulnerability analysis accessible to a broader audience through an intuitive web interface.

Dataset Information

nClimGrid-Daily

Dataset Metadata

Spatial Resolution: 0.0417° grid (~4.6km latitude spacing)
Temporal Coverage: Daily data from 1951 to present
Update Frequency: Updated with approximately 3-day lag from present
Source: NOAA National Centers for Environmental Information (NCEI)

Climate Variables

tmax: Maximum daily temperature (°F)
tmin: Minimum daily temperature (°F)
tavg: Average daily temperature (°F)
prcp: Daily precipitation (inches)

NCEI nClimGrid-Daily Documentation

Social Vulnerability Index (SVI)

Dataset Metadata

Spatial Resolution: Census tract level, gridded at ~1km resolution
Temporal Coverage: Available for 2000, 2010, 2014, 2016, 2018, and 2020
Source: NASA Socioeconomic Data and Applications Center (SEDAC)
Original Methodology: Centers for Disease Control and Prevention (CDC)

SVI Components

Socioeconomic Status: Poverty, unemployment, income, education
Household Composition: Age distribution, disability, single-parent households
Minority Status: Race, ethnicity, language proficiency
Housing & Transportation: Housing structure, crowding, vehicle access

NASA SVI Grid Documentation

Technical Implementation

UI Framework

bslib + Bootstrap 5

Responsive layout using page_navbar and page_sidebar
Card-based content organization
Tabbed navigation with consistent styling
Built with the {golem} framework for production-grade applications

Data Access

Cloud Storage Integration

Direct access to nClimGrid-Daily files on AWS S3
On-the-fly data retrieval and processing
Partitioned parquet datastores for efficient querying
Optimized data caching for improved performance

Geospatial Processing

exactextractr + terra

On-the-fly zonal statistics using exactextractr
Fast weighted and unweighted area calculations
Multiple administrative boundary support
Integration of climate data with SVI components

Analysis Methods

Time Series Decomposition

Seasonal-trend decomposition for pattern identification
Anomaly calculations against historical baselines
Climate circle visualizations for temporal patterns
SVI class-based climate impact analysis

Interactive Visualization

plotly + leaflet

Dynamic, interactive plots using plotly
Interactive mapping with leaflet
Hover tooltips and click interactions
Time series and spatial pattern exploration

Data Export

Custom CSV Generation

Custom data extracts for specific regions
Date range selection and variable filtering
SVI-weighted climate metrics
Long and wide format data options

Acknowledgments & Contact Information

This work is based on materials and programs provided by the ESIP Lab with support from the National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), and the United States Geologic Survey (USGS).

Development Team: Joshua Brinks (Principal Investigator) and Thomas Parris (Co-Investigator) from ISciences, LLC.

Data Sources: NOAA National Centers for Environmental Information (nClimGrid-Daily) and NASA Socioeconomic Data and Applications Center (SVI Grids).

Contact Information:

For more information about this application or the nClimGrid package, please contact:

Joshua Brinks
Research Scientist
ISciences, LLC
jbrinks@isciences.com

ISciences Website ESIP Lab GitHub Repository Contact Us