Jared A. Lee
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View article: Soil Moisture Modulations of Dust Emissions Introduce Non‐Negligible Impacts on the Dust Direct Radiative Effect Across the Contiguous U.S.
Soil Moisture Modulations of Dust Emissions Introduce Non‐Negligible Impacts on the Dust Direct Radiative Effect Across the Contiguous U.S. Open
Soil moisture increases the cohesive forces of soil particles, making it more difficult to lift the particles by the wind. As a result, the soil moisture modulates the airborne dust abundance, which in turn modulates the Earth's radiative …
View article: Revisiting the Role of SMAP Soil Moisture Retrievals in WRF-Chem Dust Emission Simulations over the Western U.S.
Revisiting the Role of SMAP Soil Moisture Retrievals in WRF-Chem Dust Emission Simulations over the Western U.S. Open
Having good replication of the soil moisture evolution is desirable to properly simulate the dust emissions and atmospheric dust load because soil moisture increases the cohesive forces of soil particles, modulating the wind erosion thresh…
View article: Analyzing Self-Organizing Maps of Modeled U.S. Coastal Wind Regimes with a Comparison to Observations
Analyzing Self-Organizing Maps of Modeled U.S. Coastal Wind Regimes with a Comparison to Observations Open
Wind offshore of the northeastern United States is a vast and plentiful resource. However, wind variability needs accounting for when planning, installing, and operating offshore wind farms. Therefore, increased knowledge of four general a…
View article: A dynamical ensemble approach to characterizing uncertainties in the prediction of air quality downstream of massive Western US wildfires in 202
A dynamical ensemble approach to characterizing uncertainties in the prediction of air quality downstream of massive Western US wildfires in 202 Open
To help guide advisories and various societal decision processes aimed at reducing humanity’s detrimental exposure and risks tied to poor air quality, NOAA predicts ozone (O3), fine particulate matter (PM2.5), and other harmful pollu…
View article: Gridded Post-Processing Air Quality Predictions based of the Community Multi-scale Air Quality (CMAQ) Model
Gridded Post-Processing Air Quality Predictions based of the Community Multi-scale Air Quality (CMAQ) Model Open
We present the outcomes of our 2-year endeavor as part of the NOAA Joint Technology Transfer Initiative (JTTI). This project aimed to enhance the operational air quality forecasts over the United States generated by the National Air Qualit…
View article: The I-WRF Framework: Containerized Weather Modeling, Validation, and Verification
The I-WRF Framework: Containerized Weather Modeling, Validation, and Verification Open
We describe the I-WRF project for the NSF Cyberinfrastructure for Sustained Scientific Innovation program, which provides a framework for application containers that allow the Weather Research and Forecasting Model (WRF) software and accom…
View article: Anatomy of a Summertime Convective Event over the Arabian Region
Anatomy of a Summertime Convective Event over the Arabian Region Open
This study investigates the structure and evolution of a summertime convective event that occurred on 14 July 2015 over the Arabian region. We use the WRF Model with 1-km horizontal grid spacing and test three PBL parameterizations: the Me…
View article: Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model
Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model Open
A hybrid bin microphysical scheme is developed in a parcel model framework to study how natural aerosol particles and different types of hygroscopic seeding materials affect the precipitation formation. A novel parameter is introduced to d…
View article: Comment on acp-2021-506
Comment on acp-2021-506 Open
Abstract. A hybrid bin microphysical scheme is developed in a parcel model framework to study how natural aerosol particles and different types of hygroscopic seeding materials affect the precipitation formation. A novel parameter is intro…
View article: Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model
Impact of hygroscopic seeding on the initiation of precipitation formation: results of a hybrid bin microphysics parcel model Open
A hybrid bin microphysical scheme is developed in a parcel model framework to study how natural aerosol particles and different types of hygroscopic seeding materials affect the precipitation formation. A novel parameter is introduced to d…
View article: Performance of aerosol optical depth forecasts over the Middle East: Multi-model analysis and validation
Performance of aerosol optical depth forecasts over the Middle East: Multi-model analysis and validation Open
A primary source of error for predictions of solar irradiance in clear-sky conditions is the total aerosol optical depth (AOD). Dust aerosol loading can also be significant in arid regions such as the Middle East, thus considerably decreas…
View article: Impacts of assimilating observations from connected vehicles into a numerical weather prediction model
Impacts of assimilating observations from connected vehicles into a numerical weather prediction model Open
Numerical weather prediction (NWP), a method of weather forecasting using equations that describe atmospheric flows and behavior, is used extensively to help predict weather conditions along roadways and has important implications for main…
View article: Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting
Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting Open
A modern renewable energy forecasting system blends physical models with artificial intelligence to aid in system operation and grid integration. This paper describes such a system being developed for the Shagaya Renewable Energy Park, whi…
View article: Configuration of Statistical Postprocessing Techniques for Improved Low-Level Wind Speed Forecasts in West Texas
Configuration of Statistical Postprocessing Techniques for Improved Low-Level Wind Speed Forecasts in West Texas Open
The wind energy industry needs accurate forecasts of wind speeds at turbine hub height and in the rotor layer to accurately predict power output from a wind farm. Current numerical weather prediction (NWP) models struggle to accurately pre…
View article: Wind Resource Assessment for Alaska’s Offshore Regions: Validation of a 14-Year High-Resolution WRF Data Set
Wind Resource Assessment for Alaska’s Offshore Regions: Validation of a 14-Year High-Resolution WRF Data Set Open
Offshore wind resource assessments for the conterminous U.S. and Hawai’i have been developed before, but Alaska’s offshore wind resource has never been rigorously assessed. Alaska, with its vast coastline, presents ample potential territor…
View article: Effect of meteorological variability on fine particulate matter simulations over the contiguous United States
Effect of meteorological variability on fine particulate matter simulations over the contiguous United States Open
Supporting data files for the paper titled "Effect of meteorological variability on fine particulate matter simulations over the contiguous United States" submitted to JGR-Atmosphere for publication.
View article: Effect of meteorological variability on fine particulate matter simulations over the contiguous United States
Effect of meteorological variability on fine particulate matter simulations over the contiguous United States Open
Supporting data files for the paper titled "Effect of meteorological variability on fine particulate matter simulations over the contiguous United States" submitted to JGR-Atmosphere for publication.
View article: Assessing the Wind Energy Potential in Bangladesh: Enabling Wind Energy Development with Data Products
Assessing the Wind Energy Potential in Bangladesh: Enabling Wind Energy Development with Data Products Open
USAID Bangladesh and the U.S. Department of Energy’s National Renewable Energy Laboratory partnered with the Government of Bangladesh to develop a national wind resource assessment. The assessment used sophisticated resource modeling that …
View article: Building the Sun4Cast System: Improvements in Solar Power Forecasting
Building the Sun4Cast System: Improvements in Solar Power Forecasting Open
As integration of solar power into the national electric grid rapidly increases, it becomes imperative to improve forecasting of this highly variable renewable resource. Thus, a team of researchers from the public, private, and academic se…
View article: Solar Irradiance Nowcasting Case Studies near Sacramento
Solar Irradiance Nowcasting Case Studies near Sacramento Open
The Sun4Cast solar power forecasting system, designed to predict solar irradiance and power generation at solar farms, is composed of several component models operating on both the nowcasting (0–6 h) and day-ahead forecast horizons. The di…
View article: Improving Wind Predictions in the Marine Atmospheric Boundary Layer through Parameter Estimation in a Single-Column Model
Improving Wind Predictions in the Marine Atmospheric Boundary Layer through Parameter Estimation in a Single-Column Model Open
A current barrier to greater deployment of offshore wind turbines is the poor quality of numerical weather prediction model wind and turbulence forecasts over open ocean. The bulk of development for atmospheric boundary layer (ABL) paramet…
View article: Down-Selecting Numerical Weather Prediction Multi-Physics Ensembles with Hierarchical Cluster Analysis
Down-Selecting Numerical Weather Prediction Multi-Physics Ensembles with Hierarchical Cluster Analysis Open
The goal of ensemble down selection is to retain the subset of ensemble members that span the uncertainty space of the forecast while eliminating those that are most redundant.There are hundreds of combinations of physics schemes that can …
View article: Investigating Marine Boundary Layer Parameterizations by Combining Observations with Models via State Estimation
Investigating Marine Boundary Layer Parameterizations by Combining Observations with Models via State Estimation Open
In this project we have improved numerical weather prediction analyses and forecasts of low level winds in the marine boundary layer. This has been accomplished with the following tools; The National Center for Atmospheric Research (NCAR) …