PNNL Climate Research Portal

Bias-corrected and quality-controlled daily snow water equivalent (SWE) and meteorological records for over 800 SNOTEL stations

A benchmark CLM5 dataset for evaluating uncertainty in hydrological applications over the United States

A high-resolution, physics-based, open-source community model that simulates environmental and human effects on hydrologic processes, water cycle, hydrological extremes, and river temperature across various hydrometeorological regimes

A model that simulates historical and future global water availability (e.g., runoff) on a monthly time step at a spatial resolution of 0.5 geographic degrees.

Inferred weekly storage targets and release functions for large reservoirs in the contiguous US (CONUS)

The most comprehensive dataset of United States historical reservoir operations gathered to date

A Python translation of the MOdel for Scale Adaptive River Transport and Water Management (MOSART-WM), a river routing and reservoir management model written in Fortran.

Reservoir operations model with a data-driven operations scheme

A model that disaggregates GCAM's region-scale, annual water demand projections to a finer gridded, monthly resolution

Coupled Model Intercomparison Project Phase 5 (CMIP5)-based hydropower projections for federal power marketing areas as part of the Secure Water Act Report section 9505

Coupled Model Intercomparison Project Phase 6 (CMIP6)-based hydropower projections for federal power marketing areas as part of the Secure Water Act Report section 9505 using

This dataset contains monthly and weekly hydropower generation and generation constraints (min, max, daily range) for over 1,400 hydropower plants in the conterminous United States.

Improved historical monthly energy generation estimates for 1,500 hydroelectric power plants in the U.S.

Weekly hydropower generation and operational constraints for input into a production cost model

A monthly time series of historical and future monthly hydropower generation and water availability-sensitive thermoelectric plant capacity derating for the Western Interconnect

A model that processes mosartwmpy output and is a hybrid process-based and statistical approach for monthly hydropower generation

A benchmark CLM5 dataset for evaluating uncertainty in hydrological applications over the United States

A high-resolution, physics-based, open-source community model that simulates environmental and human effects on hydrologic processes, water cycle, hydrological extremes, and river temperature across various hydrometeorological regimes

A Python translation of the MOdel for Scale Adaptive River Transport and Water Management (MOSART-WM), a river routing and reservoir management model written in Fortran.

A model that simulates historical and future global water availability (e.g., runoff) on a monthly time step at a spatial resolution of 0.5 geographic degrees.

A benchmark CLM5 dataset for evaluating uncertainty in hydrological applications over the United States

Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States.

A high-resolution, physics-based, open-source community model that simulates environmental and human effects on hydrologic processes, water cycle, hydrological extremes, and river temperature across various hydrometeorological regimes

A machine learning model of wildfire burned area for the contiguous U.S. (CONUS)

A machine learning model of wildfire emissions (PM2.5) for the contiguous U.S. (CONUS)

RADR-FIRE combines multi-modal imagery, artificial intelligence (AI), and scalable cloud computing with an infrastructure damage assessment tool to understand current impact and risk to infrastructure

A high-resolution global data product of Mesoscale Convective Systems (MCS)

A high-resolution unified observational data product of Mesoscale Convective Systems (MCS) and Isolated Deep Convection (IDC) in the U.S. for 2004–2017

A flexible feature tracking python software package (pyFLEXTRKR) for convective cloud analysis

A machine learning model for understanding and predicting extreme precipitation, including hail (ML-UPH)

A unified framework to quantify the risk associated with tropical cyclones (TCs)

Energy consumption output by income group from GCAM-USA with the multiple-consumer feature under four scenarios.

Hourly time-series of total load profiles across Balancing Authorities (BAs) in the western United States (U.S.) electricity grid interconnection for two different socioeconomic pathways and one climate scenario.

Hourly time-series electric charging load profiles by transportation sector across Balancing Authorities (BAs) in the Western United States.

Population-weighted historical and future meteorology for four Thermodynamic Global Warming (TGW) scenarios

Population-weighted historical and future meteorology for four Thermodynamic Global Warming (TGW) scenarios

A model that projects population-weighted heating and cooling degree days/hours globally based on a climate projection

A model that projects the short- and long-term evolution of hourly electricity demand in response to future changes in weather, climate, and population.

This dataset has 3 components, (1) historical and future energy drought data for balancing authorities in the Western US (2) physically consistent wind, solar and load data aggregated to the balacing authority level in the Western US (3) plant level wind and solar generation data for both historical and future scenarios.

Coincident historical hourly solar and wind generation for each Balancing Authority in the lower 48 U.S. states aggregated from simulated plant-level generation of plants that exist in the Energy Information Administration (EIA) database as of 2020.

Physically consistent and coincident historical wind, solar, and load data for 15 Balancing Authorities (BAs) in the lower 48 U.S. states and pre-computed BA-scale energy droughts for a variety of time scales from 1 hour to 5 days.

Simulated coincident historical hourly solar and wind generation for each plant in the lower 48 U.S. states that is part of the Energy Information Administration (EIA) 2020 dataset.

This dataset uses regional atmospheric climate model output to simulate wind and solar power generation across the entire contiguous US. This data is particularly useful for obtaining power production profiles at new locations or locations where only short records exist, or to study climate change impacts. We assume that a generic power plant exists at each grid cell and model the power output for solar at the surface and wind at 80, 100 and 125 meter hub heights. The data consists of a historical period 1980-2022 and several future scenarios that extend from 2020-2099.

GCAM-USA 21st century deep decarbonization simulation pathways that rely on wind, solar, hydropower, and storage to meet 2035 goals and additional technology solutions to meet 2050 goals.

A dataset with Global Change Analysis Model (GCAM) scenario results for post-COP26 (2021 United Nations Climate Change Conference) ratcheting of climate pledges needed to limit peak global warming

A dataset with Global Change Analysis Model (GCAM) scenario results for pre-COP26 (2021 United Nations Climate Change Conference) pledges

Projections of income distribution by decile for all countries for the five Shared Socioeconomic Pathways

This dataset contains data associated with Mongird et al. (in prep). Files include output from the following three analyses found in the paper: (1) Projected power plant siting intersections with US Disadvantaged Communities (DACs), important farmland, and natural areas; (2) onshore wind and solar photovoltaic capacity factor availability under 27 different siting restriction cases, and (3) output from an analysis that determines how many DACs are projected to see both fossil fuel generation retirement and new renewable power plant development.

Income projections for Washington state (under census geographic boundary 2020) from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSPs).

Block-level population projections in Washington state under different Shared Socioeconomic Pathways (SSPs) for every decade from 2020 to 2040.

This dataset contains power plant infrastructure siting information modeled by the Capacity Expansion Regional Feasibility (CERF) model for the GODEEEP project for the purpose of studying power plant landscape evolution under alternative capacity expansion scenarios.

Income distributions are a growing area of interest in the examination of equity impacts brought on by climate change and its responses. We project US state level population income distributions using a PCA-based approach.

GCAM-USA scenarios submission to the Fifth U.S. National Climate Assessment

State-level population projections for SSPs 2, 3, and 5 produced with the Population Gravity model.

A model that simulates regional to national scale renewable and non-renewable power plant siting and interconnection decisions over time while accounting for the impacts of climate and non-climate factors on siting feasibility

A model that downscales GCAM land use and land cover projections to a user defined resolution

A global model that represents the behavior of, and interactions between, five systems: energy, water, agriculture and land use, the economy, and the climate

A model that disaggregates GCAM's region-scale, annual water demand projections to a finer gridded, monthly resolution

A model to estimate annual, weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat.

A model that downscales GCAM land use and land cover projections to a user defined resolution

A high resolution data system that compiles land data for calibrating global and regional models

A model that processes climate impacts on agricultural yields for the Global Change Analysis Model (GCAM)

GCAM-USA 21st century deep decarbonization simulation pathways that rely on wind, solar, hydropower, and storage to meet 2035 goals and additional technology solutions to meet 2050 goals.

This dataset contains a set of twelve future (2020-2050) scenarios modeled by GCAM-USA for the GODEEEP project for the purpose of studying the effects of climate, socioeconomic change, technology change, current decarbonization incentives, and longer-term decarbonization policies on the U.S. energy-economy, the electricity grid, human well-being, and the environment.

This dataset has 3 components, (1) historical and future energy drought data for balancing authorities in the Western US (2) physically consistent wind, solar and load data aggregated to the balacing authority level in the Western US (3) plant level wind and solar generation data for both historical and future scenarios.

This dataset contains data associated with Mongird et al. (in prep). Files include output from the following three analyses found in the paper: (1) Projected power plant siting intersections with US Disadvantaged Communities (DACs), important farmland, and natural areas; (2) onshore wind and solar photovoltaic capacity factor availability under 27 different siting restriction cases, and (3) output from an analysis that determines how many DACs are projected to see both fossil fuel generation retirement and new renewable power plant development.

Coincident historical hourly solar and wind generation for each Balancing Authority in the lower 48 U.S. states aggregated from simulated plant-level generation of plants that exist in the Energy Information Administration (EIA) database as of 2020.

Physically consistent and coincident historical wind, solar, and load data for 15 Balancing Authorities (BAs) in the lower 48 U.S. states and pre-computed BA-scale energy droughts for a variety of time scales from 1 hour to 5 days.

Simulated coincident historical hourly solar and wind generation for each plant in the lower 48 U.S. states that is part of the Energy Information Administration (EIA) 2020 dataset.

This dataset contains power plant infrastructure siting information modeled by the Capacity Expansion Regional Feasibility (CERF) model for the GODEEEP project for the purpose of studying power plant landscape evolution under alternative capacity expansion scenarios.

Energy consumption output by income group from GCAM-USA with the multiple-consumer feature under four scenarios.

Hourly time-series electric charging load profiles by transportation sector across Balancing Authorities (BAs) in the Western United States.

Population-weighted historical and future meteorology for four Thermodynamic Global Warming (TGW) scenarios

Population-weighted historical and future meteorology for four Thermodynamic Global Warming (TGW) scenarios

Understanding the residential energy consumption patterns across multiple income groups under decarbonization scenarios is crucial for designing equitable and effective energy policies that address climate change while minimizing disparities. This dataset is developed using an integrated human-Earth system model, supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment at Pacific Northwest National Laboratory (PNNL). Compared to the first version of the dataset (https://zenodo.org/record/79880387), this updated dataset is based on model runs where the Inflation Reduction Act (IRA) are implemented in the model scenarios. In addition to the queried and post-processed key output variables related to residential energy sector in .csv tables, we also upload the full model output databases in this repository, so that users can query their desired model outputs.

Income projections for Washington state (under census geographic boundary 2020) from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSPs).

Block-level population projections in Washington state under different Shared Socioeconomic Pathways (SSPs) for every decade from 2020 to 2040.

Energy consumption output by income group from GCAM-USA with the multiple-consumer feature under four scenarios.

Income distributions are a growing area of interest in the examination of equity impacts brought on by climate change and its responses. We project US state level population income distributions using a PCA-based approach.

State-level population projections for SSPs 2, 3, and 5 produced with the Population Gravity model.

Understanding the residential energy consumption patterns across multiple income groups under decarbonization scenarios is crucial for designing equitable and effective energy policies that address climate change while minimizing disparities. This dataset is developed using an integrated human-Earth system model, supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment at Pacific Northwest National Laboratory (PNNL). Compared to the first version of the dataset (https://zenodo.org/record/79880387), this updated dataset is based on model runs where the Inflation Reduction Act (IRA) are implemented in the model scenarios. In addition to the queried and post-processed key output variables related to residential energy sector in .csv tables, we also upload the full model output databases in this repository, so that users can query their desired model outputs.

A model that simulates regional to national scale renewable and non-renewable power plant siting and interconnection decisions over time while accounting for the impacts of climate and non-climate factors on siting feasibility

This package can flexibly generate income deciles based on multiple approaches such as a lognormal based approach or a more detail PCA driven model.