There are 3498 publications affiliated with RAL.

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Evaluating farmers' adaptation strategies amid rising heat and climatic extremes in San Diego County, California

Bross, J., Quandt, A., Simpson, I. R., Foster, A. C., Lacey, F.. (2026). Evaluating farmers' adaptation strategies amid rising heat and climatic extremes in San Diego County, California. Climate Risk Management, doi:https://doi.org/10.1016/j.crm.2026.100880

California's agricultural sector faces intensifying climate risks, yet research has concentrated on large commodity production regions, leaving small-farm and specialty crop systems underexamined. San Diego County, home to more than 4000 fa...

RAL Affiliations: ERAP

Publication Genre: Article

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A hybrid approach for the techno-economic analysis of wind power plants

Atalan, Y. A., Atalan, A., Haupt, S. E., Lee, J., Hawbecker, P.. (2026). A hybrid approach for the techno-economic analysis of wind power plants. Renewable Energy, doi:https://doi.org/10.1016/j.renene.2026.126445

This study presents an integrated framework combining design of experiments, the System Advisor Model, and machine learning to improve energy production and economic forecasting for wind power plants. A multi-level full factorial design of ...

RAL Affiliations: ERAP, WISP

Publication Genre: Article

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A model intercomparison study of mixed-phase clouds in a laboratory Chamber

Wang, A., Chen, S., Krueger, S. K., Dziekan, P., Enokido, K., et al. (2026). A model intercomparison study of mixed-phase clouds in a laboratory Chamber. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2025ms005648

Supercooled liquid water often persists in mixed-phase clouds for hours to days, even though a simple, well-mixed Wegener-Bergeron-Findeisen model predicts rapid depletion of liquid water in the presence of ice. The persistence is well docu...

RAL Affiliations: HAP

Publication Genre: Article

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Impact of high-resolution soil erodibility datasets on dust simulations in WRF-Chem with the GOCART scheme

Segado-Moreno, L., Montavez, J. P., Garnes-Morales, G., Raluy-Lopez, E., Jimenez-Guerrero, P., et al. (2026). Impact of high-resolution soil erodibility datasets on dust simulations in WRF-Chem with the GOCART scheme. Atmospheric Chemistry and Physics, doi:https://doi.org/10.5194/acp-26-12641-2026

Mineral dust is a major atmospheric aerosol influencing climate, air quality, and human health through radiative and microphysical processes. The Iberian Peninsula is frequently affected by North African dust intrusions, leading to episodic...

RAL Affiliations: RALAO

Publication Genre: Article

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Evaluation of CONUS404 cold-season precipitation and snowpack over the mountainous western United States

Smith, K., Geerts, B., Adhikari, P., Day, K., Rahimi, S., et al. (2026). Evaluation of CONUS404 cold-season precipitation and snowpack over the mountainous western United States. Journal of Hydrometeorology, doi:https://doi.org/10.1175/jhm-d-25-0125.1

This study evaluates the ability of CONUS404, a 4-km resolution historical climate reconstruction that uses a coupled atmosphere-land surface model driven by a global reanalysis, to accurately simulate the precipitation, temperature, and sn...

RAL Affiliations: HAP, RALAO

Publication Genre: Article

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Scientific advances and challenges to address growing societal needs in weather modification

Tessendorf, S. A., Siems, S., Prabhakaran, T., Cecchini, M. A., Burger, R., et al. (2026). Scientific advances and challenges to address growing societal needs in weather modification. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-26-0160.1

The 11th World Meteorological Organization (WMO) Scientific Conference on Weather Modification took place at the Indian Institute of Tropical Meteorology (IITM) in Pune, India, from November 3 to 7, 2025. Ending a 14-year hiatus since the 2...

RAL Affiliations: HAP

Publication Genre: Article

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Riverine nitrate fate and Transport in the Great Lakes Basin using the Community Land Model

Felfelani, F., Pokhrel, Y., Phanikumar, M., Lawrence, D. M.. (2026). Riverine nitrate fate and Transport in the Great Lakes Basin using the Community Land Model. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2025ms005595

Agriculture and urbanization have profoundly altered the terrestrial nitrogen cycle, leading to widespread water quality degradation. Nitrogen leached from managed soils is transported and transformed through river networks, influencing dow...

RAL Affiliations: HAP

Publication Genre: Article

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Convection-permitting projections of low-level jets and mesoscale convective systems in South America

Mu, Y., Jones, C., Carvalho, L. M. V., Kukulies, J., Prein, A., et al. (2026). Convection-permitting projections of low-level jets and mesoscale convective systems in South America. Journal of Geophysical Research: Atmospheres, doi:https://doi.org/10.1029/2026jd046766

Anthropogenic warming is expected to substantially modify the hydroclimate of South America, a region in which low-level jets (LLJs) and mesoscale convective systems (MCSs) are key components of moisture transport and precipitation. However...

RAL Affiliations: HAP

Publication Genre: Article

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Bias-correcting the high-resolution urban meteorology for impacts dataset (HUMID) temperature data using the personal weather stations (PWS) network and a spatial temporal Bayesian regression coupled with random forest

Mathieu-Campbell, M., Madden, W., Scovronick, N., Ebelt, S., Newman, A. J., et al. (2026). Bias-correcting the high-resolution urban meteorology for impacts dataset (HUMID) temperature data using the personal weather stations (PWS) network and a spatial temporal Bayesian regression coupled with random forest. Environmental Research Communications, doi:https://doi.org/10.1088/2515-7620/ae8e5d

Heat exposure is associated with mortality and several adverse health outcomes, including heat strokes and heart diseases. The availability of accurate and high spatial temporal resolution of meteorological information is crucial to evaluat...

RAL Affiliations: HAP

Publication Genre: Article

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Harnessing Land-Atmosphere Interactions to enhance subseasonal-to-seasonal Predictability

He, C., Zhang, L. N., Leung, L. R., Richter, J. H., Bassett, C., et al. (2026). Harnessing Land-Atmosphere Interactions to enhance subseasonal-to-seasonal Predictability. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/bams-d-25-0255.1

2025 Advancing Understanding of Land-Atmosphere Interactions and Processes on S2S Predictability Workshop What: 227 registered workshop participants gathered in person (43%) and online (57%) to discuss state-of-the-art scientific understand...

RAL Affiliations: HAP, NSAP

Publication Genre: Article

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Implementation of a three-dimensional planetary boundary layer parameterization in a coupled modeling system and evaluation of "gray zone" simulations of a wind-wave event off the US california coast using observations

Hendricks, E. A., Juliano, T. W., Kosović, B., Haupt, S. E., Gaudet, B., et al. (2026). Implementation of a three-dimensional planetary boundary layer parameterization in a coupled modeling system and evaluation of "gray zone" simulations of a wind-wave event off the US california coast using observations. Geoscientific Model Development, doi:https://doi.org/10.5194/gmd-19-7369-2026

A three-dimensional (3D) planetary boundary layer (PBL) parameterization was added to the Coupled Ocean Atmosphere Wave Sediment Transport (COAWST) model and the first coupled atmosphere/wave "gray zone" simulations were carried out using t...

RAL Affiliations: NSAP, WSAP

Publication Genre: Article

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Improving monsoon precipitation forecast accuracy over arizona with GPS-PWV data assimilation

Risanto, C. B., Jr., A. F. A., Koch, S., Castro, C. L., Shohan, S., et al. (2026). Improving monsoon precipitation forecast accuracy over arizona with GPS-PWV data assimilation. Monthly Weather Review, doi:https://doi.org/10.1175/mwr-d-25-0101.1

Forecasting monsoon precipitation over Arizona is challenging, partly due to its complex terrain. The model grid structure may misrepresent topographic details, and the sparse observation network is insufficient for the initialization of th...

RAL Affiliations: RALAO, AAP

Publication Genre: Article

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Snow-eater heat waves of the western united states

Rhoades, A. M., North, J., Rudisill, W., Hatchett, B. J., Risser, M., et al. (2026). Snow-eater heat waves of the western united states. Science Advances, doi:https://doi.org/10.1126/sciadv.aeb3361

Abrupt snowmelt, triggered by rain-on-snow events or "snow-eater heat waves," can cause flooding, initiate or accelerate snow drought, and affect water availability. However, the characteristics (e.g., area, duration, and frequency), impact...

RAL Affiliations: RISC

Publication Genre: Article

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Layer‐dependent diurnal moist static energy biases in the unified forecast system during the MJO preconditioning stage: a DYNAMO case study

Li, W., Sun, S., Bengtsson, L., Zhang, M., Dudhia, J., et al. (2026). Layer‐dependent diurnal moist static energy biases in the unified forecast system during the MJO preconditioning stage: a DYNAMO case study. Journal of Geophysical Research: Atmospheres, doi:https://doi.org/10.1029/2026jd046470

Accurate simulation of the Madden‐Julian Oscillation (MJO) requires realistic diurnal evolution and vertical distribution of moist static energy (MSE). While prior studies documented MSE bias in simulations, vertically dependent physical pr...

RAL Affiliations: JNT, RALAO

Publication Genre: Article

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An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho

Padilla, S., Tian, Y., Kim, J., Wolff, C.. (2026). An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho. , doi:https://doi.org/10.5065/qa9v-ep93

This study aims to evaluate the performance of the 4-km resolution CONUS404 dataset, a hydrological reanalysis dataset simulated using the Weather Research and Forecasting Model (WRF), during the June 29-30, 2012, Derecho event in the centr...

RAL Affiliations: WSAP

Publication Genre: Manuscript

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Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models

Igbinoba, M., McCrary, R., Stuivenvolt-Allen, J., McGinnis, S. A., Tye, M.. (2026). Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models. , doi:https://doi.org/10.5065/2d2d-4695

Extratropical cyclones (ETCs) are a major source of cool-season hazardous weather across North America, yet their variability is strongly influenced by large-scale atmospheric and oceanic modes. This study evaluates how the El Niño–Southern...

RAL Affiliations: RISC, NSAP

Publication Genre: Manuscript

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Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models

Igbinoba, M., McCrary, R., Stuivenvolt-Allen, J., McGinnis, S. A., Tye, M., et al. (2026). Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models. , doi:https://doi.org/10.5065/2d2d-4695

Extratropical cyclones (ETCs) are a major source of cool-season hazardous weather across North America, yet their variability is strongly influenced by large-scale atmospheric and oceanic modes. This study evaluates how the El Niño–Southern...

RAL Affiliations: RISC, NSAP

Publication Genre: Manuscript

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Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage

Laws, K., Rozoff, C. M., Vigh, J.. (2026). Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage. , doi:https://doi.org/10.5065/7mkf-yb22

Integrated kinetic energy (IKE) can be used to assess the size and magnitude of a tropical cyclone (TC) wind field. When a TC makes landfall, it is imperative that wind information is as accurate as possible to protect infrastructure and li...

RAL Affiliations: NSAP, JNT

Publication Genre: Manuscript

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Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models

Igbinoba, M., McCrary, R., Stuivenvolt-Allen, J., McGinnis, S. A., Tye, M.. (2026). Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models. , doi:https://doi.org/10.5065/2d2d-4695

Extratropical cyclones (ETCs) are a major source of cool-season hazardous weather across North America, yet their variability is strongly influenced by large-scale atmospheric and oceanic modes. This study evaluates how the El Niño–Southern...

RAL Affiliations: RISC, NSAP

Publication Genre: Manuscript

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Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models

Igbinoba, M., McCrary, R., Stuivenvolt-Allen, J., McGinnis, S. A., Tye, M.. (2026). Drivers of North American Extratropical Cyclone Variability Across Time Scales: Evidence from Earth System Models. , doi:https://doi.org/10.5065/2d2d-4695

Extratropical cyclones (ETCs) are a major source of cool-season hazardous weather across North America, yet their variability is strongly influenced by large-scale atmospheric and oceanic modes. This study evaluates how the El Niño–Southern...

RAL Affiliations: RISC, NSAP

Publication Genre: Manuscript

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Exploring the Potential of Low-Cost Air Quality Sensors and Comparing HRRR Forecast vs Analysis Inputs in a High-Resolution Model for Prescribed Burn Applications

Nigro, E., Shams, S., Williams, M., Piña, A.. (2026). Exploring the Potential of Low-Cost Air Quality Sensors and Comparing HRRR Forecast vs Analysis Inputs in a High-Resolution Model for Prescribed Burn Applications. , doi:https://doi.org/10.5065/6mx6-km36

Prescribed burns are implemented by land managers to promote ecosystem resilience and reduce wildfire risk, but the smoke they produce can pose health risks to fire personnel and nearby communities. Accurate prediction of smoke dispersion i...

RAL Affiliations: NSAP

Publication Genre: Manuscript

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Exploring the Potential of Low-Cost Air Quality Sensors and Comparing HRRR Forecast vs Analysis Inputs in a High-Resolution Model for Prescribed Burn Applications

Nigro, E., Shams, S., Williams, M., Piña, A.. (2026). Exploring the Potential of Low-Cost Air Quality Sensors and Comparing HRRR Forecast vs Analysis Inputs in a High-Resolution Model for Prescribed Burn Applications. , doi:https://doi.org/10.5065/6mx6-km36

Prescribed burns are implemented by land managers to promote ecosystem resilience and reduce wildfire risk, but the smoke they produce can pose health risks to fire personnel and nearby communities. Accurate prediction of smoke dispersion i...

RAL Affiliations: NSAP

Publication Genre: Manuscript

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Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage

Laws, K., Rozoff, C. M., Vigh, J.. (2026). Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage. , doi:https://doi.org/10.5065/7mkf-yb22

Integrated kinetic energy (IKE) can be used to assess the size and magnitude of a tropical cyclone (TC) wind field. When a TC makes landfall, it is imperative that wind information is as accurate as possible to protect infrastructure and li...

RAL Affiliations: NSAP, JNT

Publication Genre: Manuscript

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Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage

Laws, K., Rozoff, C. M., Vigh, J.. (2026). Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage. , doi:https://doi.org/10.5065/7mkf-yb22

Integrated kinetic energy (IKE) can be used to assess the size and magnitude of a tropical cyclone (TC) wind field. When a TC makes landfall, it is imperative that wind information is as accurate as possible to protect infrastructure and li...

RAL Affiliations: NSAP, JNT

Publication Genre: Manuscript

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Exploring the Potential of Low-Cost Air Quality Sensors and Comparing HRRR Forecast vs Analysis Inputs in a High-Resolution Model for Prescribed Burn Applications

Nigro, E., Shams, S., Williams, M., Piña, A.. (2026). Exploring the Potential of Low-Cost Air Quality Sensors and Comparing HRRR Forecast vs Analysis Inputs in a High-Resolution Model for Prescribed Burn Applications. , doi:https://doi.org/10.5065/6mx6-km36

Prescribed burns are implemented by land managers to promote ecosystem resilience and reduce wildfire risk, but the smoke they produce can pose health risks to fire personnel and nearby communities. Accurate prediction of smoke dispersion i...

RAL Affiliations: NSAP

Publication Genre: Manuscript

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Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors

Pham, K., Shams, S., Payne, K., Nicewonger, W.. (2026). Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors. , doi:https://doi.org/10.5065/0999-0f83

Short- and long-term exposure to fine particulate matter, specifically particles with a diameter below 2.5 μm (PM₂.₅) is attributed to severe human health impacts. Conventional air quality monitoring for PM₂.₅ is limited on their spatial re...

RAL Affiliations: NSAP

Publication Genre: Manuscript

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Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors

Pham, K., Shams, S., Payne, K., Nicewonger, W.. (2026). Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors. , doi:https://doi.org/10.5065/0999-0f83

Short- and long-term exposure to fine particulate matter, specifically particles with a diameter below 2.5 μm (PM₂.₅) is attributed to severe human health impacts. Conventional air quality monitoring for PM₂.₅ is limited on their spatial re...

RAL Affiliations: NSAP

Publication Genre: Manuscript

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Evaluating the Representation of Fires in Georgia, USA, in the FINN Biomass Burning Emissions Inventory

Patrin, S., Acdan, J. J. M., Wolff, J. K., Porter, R.. (2026). Evaluating the Representation of Fires in Georgia, USA, in the FINN Biomass Burning Emissions Inventory. , doi:https://doi.org/10.5065/r0v7-yj57

Biomass burning emissions inventories transform observational data into inputs for chemical transport and Earth system models, but uncertainty remains in their representation of fire activity in regions where prescribed and agricultural bur...

RAL Affiliations: ERAP

Publication Genre: Manuscript

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Evaluating the Representation of Fires in Georgia, USA, in the FINN Biomass Burning Emissions Inventory

Patrin, S., Acdan, J. J. M., Wolff, J. K.. (2026). Evaluating the Representation of Fires in Georgia, USA, in the FINN Biomass Burning Emissions Inventory. , doi:https://doi.org/10.5065/r0v7-yj57

Biomass burning emissions inventories transform observational data into inputs for chemical transport and Earth system models, but uncertainty remains in their representation of fire activity in regions where prescribed and agricultural bur...

RAL Affiliations: ERAP

Publication Genre: Manuscript

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Evaluating the Representation of Fires in Georgia, USA, in the FINN Biomass Burning Emissions Inventory

Patrin, S., Acdan, J. J. M., Wolff, J. K.. (2026). Evaluating the Representation of Fires in Georgia, USA, in the FINN Biomass Burning Emissions Inventory. , doi:https://doi.org/10.5065/r0v7-yj57

Biomass burning emissions inventories transform observational data into inputs for chemical transport and Earth system models, but uncertainty remains in their representation of fire activity in regions where prescribed and agricultural bur...

RAL Affiliations: ERAP

Publication Genre: Manuscript

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An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho

Padilla, S., Tian, Y., Kim, J.. (2026). An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho. , doi:https://doi.org/10.5065/qa9v-ep93

This study aims to evaluate the performance of the 4-km resolution CONUS404 dataset, a hydrological reanalysis dataset simulated using the Weather Research and Forecasting Model (WRF), during the June 29-30, 2012, Derecho event in the centr...

RAL Affiliations: WSAP

Publication Genre: Manuscript

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An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho

Padilla, S., Tian, Y., Kim, J.. (2026). An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho. , doi:https://doi.org/10.5065/qa9v-ep93

This study aims to evaluate the performance of the 4-km resolution CONUS404 dataset, a hydrological reanalysis dataset simulated using the Weather Research and Forecasting Model (WRF), during the June 29-30, 2012, Derecho event in the centr...

RAL Affiliations: WSAP

Publication Genre: Manuscript

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An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho

Padilla, S., Tian, Y., Kim, J.. (2026). An Evaluation of the CONUS404 Dataset Biases During the June 29 2012 Derecho. , doi:https://doi.org/10.5065/qa9v-ep93

This study aims to evaluate the performance of the 4-km resolution CONUS404 dataset, a hydrological reanalysis dataset simulated using the Weather Research and Forecasting Model (WRF), during the June 29-30, 2012, Derecho event in the centr...

RAL Affiliations: WSAP

Publication Genre: Manuscript

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Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors

Pham, K., Shams, S., Payne, K., Nicewonger, W., Harrold, M., et al. (2026). Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors. , doi:https://doi.org/10.5065/0999-0f83

Short- and long-term exposure to fine particulate matter, specifically particles with a diameter below 2.5 μm (PM₂.₅) is attributed to severe human health impacts. Conventional air quality monitoring for PM₂.₅ is limited on their spatial re...

RAL Affiliations: NSAP, ERAP

Publication Genre: Manuscript

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Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors

Pham, K., Shams, S., Payne, K., Nicewonger, W.. (2026). Characterizing PM₂.₅ Data in Low-Cost Air Quality Sensors. , doi:https://doi.org/10.5065/0999-0f83

Short- and long-term exposure to fine particulate matter, specifically particles with a diameter below 2.5 μm (PM₂.₅) is attributed to severe human health impacts. Conventional air quality monitoring for PM₂.₅ is limited on their spatial re...

RAL Affiliations: NSAP

Publication Genre: Manuscript

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Observationally Constrained SO₂ Oxidation Rates from ACCLIP (2022): Toward Improved Sulfate Representation in CESM

Tambe, T., Smith, W. P., Nance, L. B., Myron-Karels, M.. (2026). Observationally Constrained SO₂ Oxidation Rates from ACCLIP (2022): Toward Improved Sulfate Representation in CESM. , doi:https://doi.org/10.5065/0tth-kz49

Sulfate aerosol (SO42-) in the upper troposphere and lower stratosphere (UTLS) influences radiative balance, stratospheric chemistry, and air quality far from its source, with Asian summer monsoon deep convection delivering sulfur to this r...

Publication Genre: Manuscript

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Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage

Laws, K., Rozoff, C. M., Vigh, J., Mayfield, W.. (2026). Influence of Surface Type and Observational Data Source on Understanding Tropical Cyclone Integrated Kinetic Energy: Implications for Storm Damage. , doi:https://doi.org/10.5065/7mkf-yb22

Integrated kinetic energy (IKE) can be used to assess the size and magnitude of a tropical cyclone (TC) wind field. When a TC makes landfall, it is imperative that wind information is as accurate as possible to protect infrastructure and li...

RAL Affiliations: NSAP, JNT, WISP

Publication Genre: Manuscript

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Decade-long cloud-resolving model simulations for arabian peninsula winter precipitation: climatology and extremes

Attada, R., Luong, T. M., Dasari, H. P., Chang, H., Sharma, N., et al. (2026). Decade-long cloud-resolving model simulations for arabian peninsula winter precipitation: climatology and extremes. Journal of Applied Meteorology and Climatology, doi:https://doi.org/10.1175/jamc-d-25-0123.1

RAL Affiliations: RALAO

Publication Genre: Article

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Dynamical and microphysical drivers of activation and snow growth from ground-based seeding in complex terrain. part i

Gooch, J., Friedrich, K., Xie, Z., Xue, L., Chen, S.. (2026). Dynamical and microphysical drivers of activation and snow growth from ground-based seeding in complex terrain. part i. Journal of Applied Meteorology and Climatology, doi:https://doi.org/10.1175/jamc-d-25-0246.1

This study used a model-based analysis with the Weather Research and Forecasting Model with the weather modification module (WRF-WxMod) to examine how thermodynamic, microphysical, and dynamical conditions influenced ground-based silver iod...

RAL Affiliations: HAP

Publication Genre: Article

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Advancing aquifer recharge forecasting through hybrid explainable AI and hydrological modeling

Sharma, C., Basagaoglu, H., Schmidt, L., Yoosefdoost, I., Wootten, A. M., et al. (2026). Advancing aquifer recharge forecasting through hybrid explainable AI and hydrological modeling. Geoscience Frontiers, doi:https://doi.org/10.1016/j.gsf.2026.102336

Develops a hybrid explainable AI-hydrological framework for recharge prediction. • Integrates physical modeling and data-driven inference for transparent analysis. • Identifies precipitation and antecedent moisture as key recharge controls....

RAL Affiliations: HAP

Publication Genre: Article

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Five shifts to rethink urban heat assessment and action

Sharma, A., Kumar, R., Klinenberg, E., Chow, W.. (2026). Five shifts to rethink urban heat assessment and action. npj Urban Sustainability, doi:https://doi.org/10.1038/s42949-026-00451-9

Urban heat risk is intensifying, yet many cities continue to rely on static assessment approaches that inadequately capture how risk evolves spatiotemporally. We argue for a more dynamic and context-sensitive approach to urban heat assessme...

RAL Affiliations: RALAO

Publication Genre: Article

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Advancing earth system science with and for the community: shaping NSF ncar's AI strategy

Richter, J. H., Harney, L., Haacker, R., Clyne, J. P., Cains, M., et al. (2026). Advancing earth system science with and for the community: shaping NSF ncar's AI strategy. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/bams-d-26-0202.1

Artificial intelligence (AI) and machine learning (ML) are rapidly transforming Earth system science (ESS), enabling new approaches to observation, data assimilation, and forecasting across interconnected atmospheric, chemical, hydrological...

RAL Affiliations: NSAP

Publication Genre: Article

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High-resolution emission source mapping: a bottleneck for understanding urban climate and air quality

Wang, C., Tang, W., He, C., Guenther, A. B., Garland, R. M., et al. (2026). High-resolution emission source mapping: a bottleneck for understanding urban climate and air quality. Environmental Research Letters, doi:https://doi.org/10.1088/1748-9326/ae8feb

Recent advances in high-resolution urban climate and air quality modeling have enabled more explicit representation of fine-scale meteorology and pollutant transport within cities. However, the emission data used to drive these models have ...

RAL Affiliations: HAP

Publication Genre: Article

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U-net-based spatial synergistic correction of gridded summer precipitation forecasts for CMA-MESO in central china

He, G., Wu, W., Zhang, Z., Ma, Z., Sun, J., et al. (2026). U-net-based spatial synergistic correction of gridded summer precipitation forecasts for CMA-MESO in central china. Atmospheric Research, doi:https://doi.org/10.1016/j.atmosres.2026.109217

This study addresses the systematic biases in the quantitative precipitation forecasts produced by the China Meteorological Administration's regional high-resolution model CMA-MESO over Central China and proposes a spatial synergistic corre...

RAL Affiliations: HAP

Publication Genre: Article

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Temporal evolution of cloud-top generating cells: a case study

Valdivia, J., Friedrich, K., Zaremba, T., Tessendorf, S. A.. (2026). Temporal evolution of cloud-top generating cells: a case study. Journal of the Atmospheric Sciences, doi:https://doi.org/10.1175/jas-d-25-0088.1

Cloud-top generating cells (CTGCs) significantly influence winter precipitation, yet their complete life cycle remains poorly characterized observationally. This study analyzes the temporal evolution of CTGCs during a winter storm using X-b...

RAL Affiliations: RALAO

Publication Genre: Article

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Root dynamics mitigate warm and dry biases over the central United States

Yang, Z., Feng, Z., Varble, A. C., Sakaguchi, K., Kaul, C. M., et al. (2026). Root dynamics mitigate warm and dry biases over the central United States. Geophysical Research Letters, doi:https://doi.org/10.1029/2026gl121754

The central United States frequently exhibits warm and dry biases in simulations of summertime conditions, a persistent feature that remains unresolved. While previous studies linked these biases to misrepresented surface energy exchanges, ...

RAL Affiliations: HAP

Publication Genre: Article

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Soil organic matter reduces persistent nighttime surface warm bias in convection-permitting U.S. simulations

Lin, T., He, C., Liu, C., Abolafia-Rosenzweig, R., Dudhia, J., et al. (2026). Soil organic matter reduces persistent nighttime surface warm bias in convection-permitting U.S. simulations. Geophysical Research Letters, doi:https://doi.org/10.1029/2026gl123274

Convection-permitting modeling has become a cornerstone for improving representation of land-atmosphere processes, predicting weather extremes, and creating long-term hydrometeorological data sets. The convection-permitting Weather Research...

RAL Affiliations: HAP, WCAP

Publication Genre: Article

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Gridded post-processing of air quality predictions based on the Community Multi-scale Air Quality (CMAQ) model

Alessandrini, S., Meech, S., Lee, J., Kim, J., Kumar, R., et al. (2026). Gridded post-processing of air quality predictions based on the Community Multi-scale Air Quality (CMAQ) model. Atmospheric Environment, doi:https://doi.org/10.1016/j.atmosenv.2026.122011

Systematic and random errors remain in operational predictions of fine particulate matter (PM2.5) and ozone (O3) from the Community Multiscale Air Quality (CMAQ) model. Current post-processing methods at the National Air Quality Forecast Ca...

RAL Affiliations: WISP, WSAP, WCAP, RALAO

Publication Genre: Article

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Preterm and early term delivery after heat waves in eight US states: a case-crossover study using the High-resolution Urban Meteorology for Impacts Data set (HUMID)

Fitch, A., Huang, M., Strickland, M. J., Newman, A. J., Kalb, C., et al. (2026). Preterm and early term delivery after heat waves in eight US states: a case-crossover study using the High-resolution Urban Meteorology for Impacts Data set (HUMID). Environmental Health Perspectives, doi:https://doi.org/10.1021/ehp.6c00358

Background Heat wave frequency and intensity is increasing and this trend is more pronounced in urban areas. Heat waves may be acutely associated with early birth. Objectives To examine the acute relationship between heat waves and preterm ...

RAL Affiliations: HAP, JNT

Publication Genre: Article

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Management practices and elevated atmospheric CO levels helped to sustain a high level of global rice production

Lin, T., Jain, A. K.. (2026). Management practices and elevated atmospheric CO levels helped to sustain a high level of global rice production. Scientific Reports, doi:https://doi.org/10.1038/s41598-026-55973-0

Rice is a staple agricultural resource for over half the global population. Using the data-modeling methods, which account for major biophysical processes and all major environmental and management factors, our study shows that rice product...

RAL Affiliations: HAP

Publication Genre: Article

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