Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales

Peters‐Lidard, Christa D.; Kemp, Eric M.; Matsui, Toshihisa; Santanello, Joseph A.; Kumar, Sujay V.; Jacob, Jossy P.; Clune, Thomas; Tao, Wei‐Kuo; Chin, Mian; Hou, Arthur Y.; Case, Jonathan L.; Kim, Dongchul; Kim, Kyu‐Myong; Lau, William K. M.; Liu, Yuqiong; Shi, J. J.; Starr, David Oc.; Tan, Qian; Tao, Zhining; Zaitchik, Benjamin F.; Zavodsky, Bradley; Zhang, Sara Q.; Zupanski, Milija

doi:10.1016/j.envsoft.2015.01.007

Cited by 102 publications

(67 citation statements)

References 72 publications

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“…The higher ozone (>45 ppbv) was modeled over the scatter areas in California, Arizona, Utah, Virginia, and North Carolina. Previous studies have shown that NU-WRF has sufficient skills in simulating land-atmosphere exchange, aerosol-cloud-radiation interactions, atmospheric photochemical processes, and air quality [21][22][23]28]. In this study, we compared the daily precipitation from the control experiment to the rain gauge data analyzed by the Climate Prediction Center of the National Oceanic and Atmospheric Administration under its unified precipitation project [45,46].…”

Section: Control Experiments (Noacr or F0) And Model Evaluationmentioning

confidence: 99%

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The Role of Aerosol-Cloud-Radiation Interactions in Regional Air Quality—A NU-WRF Study over the United States

Tao

Chin

2015

Atmosphere

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This work assessed the impact of aerosol-cloud-radiation (ACR) interactions on U.S. regional ozone and PM2.5 using the NASA Unified Weather Research and Forecasting modeling system. A series of three-month simulations have been carried out for the year 2010, in which the factor separation method has been applied in order to isolate the contributions from aerosol-radiation (AR), aerosol-cloud (AC), and their synergistic effects. The overall ACR effects were to reduce the average cloud liquid water path by 25 g·m −2 (ca. 40% of the baseline) and to increase the downward shortwave radiation by 8 W·m −2 (ca. 3% of the baseline). The spatial difference in response to ACR was large, with ca. 50 W·m −2 , 1 K, and 100 m increases in downward shortwave radiation, surface temperature, and planetary boundary layer height (PBLH), respectively, while ca. 60 g·m −2 decrease in cloud liquid water path in central Texas. The AC effect dominated for changes in downward shortwave radiation, cloud liquid water path, wind, and temperature, while both AC and AR effects contributed profoundly to PBLH change. As a result, surface ozone and PM2.5 changed with large temporal-spatial variations. More than a 10 ppbv of surface ozone and a 5 μg·m −3 of PM2.5 difference induced by ACR occurred frequently in the eastern U.S.

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Section: Control Experiments (Noacr or F0) And Model Evaluationmentioning

confidence: 99%

“…NU-WRF is an observation-driven regional modeling system that has been developed from the advanced research versions of WRF [20] and WRF-Chem [12] with the addition of several NASA-developed components [21][22][23]. NU-WRF uniquely embeds the Land Information System as one land surface model option.…”

Section: Nu-wrf Modeling System Set-up and Experiments Designmentioning

confidence: 99%

The Role of Aerosol-Cloud-Radiation Interactions in Regional Air Quality—A NU-WRF Study over the United States

Tao

Chin

2015

Atmosphere

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“…The MEGAN emission calculations in this study were driven by the meteorological fields simulated by the NUWRF (Peters-Lidard et al, 2015) modeling system version 7. The WRF component within this version of NUWRF was modified from the core WRF version 3.5.1, and it simulates atmospheric processes on a terrain-following mass vertical coordinate system over flexible spatial and temporal scales (Skamarock et al, 2008).…”

Section: Nuwrf Meteorological Simulations Using Different Land and Atmentioning

confidence: 99%

Biogenic isoprene emissions driven by regional weather predictions using different initialization methods: case studies during the SEAC<sup>4</sup>RS and DISCOVER-AQ airborne campaigns

et al. 2017

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Abstract. Land and atmospheric initial conditions of the Weather Research and Forecasting (WRF) model are often interpolated from a different model output. We perform case studies during NASA's SEAC 4 RS and DISCOVER-AQ Houston airborne campaigns, demonstrating that using land initial conditions directly downscaled from a coarser resolution dataset led to significant positive biases in the coupled NASA-Unified WRF (NUWRF, version 7) surface and near-surface air temperature and planetary boundary layer height (PBLH) around the Missouri Ozarks and Houston, Texas, as well as poorly partitioned latent and sensible heat fluxes. Replacing land initial conditions with the output from a long-term offline Land Information System (LIS) simulation can effectively reduce the positive biases in NUWRF surface air temperature by ∼ 2 • C. We also show that the LIS land initialization can modify surface air temperature errors almost 10 times as effectively as applying a different atmospheric initialization method. The LIS-NUWRFbased isoprene emission calculations by the Model of Emissions of Gases and Aerosols from Nature (MEGAN, version 2.1) are at least 20 % lower than those computed using the coarser resolution data-initialized NUWRF run, and are closer to aircraft-observation-derived emissions. Higher resolution MEGAN calculations are prone to amplified discrepancies with aircraft-observation-derived emissions on small scales. This is possibly a result of some limitations of MEGAN's parameterization and uncertainty in its inputs on small scales, as well as the representation error and the neglect of horizontal transport in deriving emissions from aircraft data. This study emphasizes the importance of proper land initialization to the coupled atmospheric weather modeling and the follow-on emission modeling. We anticipate it to also be critical to accurately representing other processes included in air quality modeling and chemical data assimilation. Having more confidence in the weather inputs is also beneficial for determining and quantifying the other sources of uncertainties (e.g., parameterization, other input data) of the models that they drive.

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“…Shi et al (2014) used aerosol and chemical-transport model simulations as a tool to provide a realistically diagnosed aerosol field for their cloud microphysics calculation in the main model framework with the same domain configuration. They incorporated the following two individual models off-line: the GOCART solomodule version of the WRF coupled with chemistry (WRF-Chem; Grell et al 2005), and the National Aeronautics and Space Administration (NASA) Unified WRF (NU-WRF; Peters-Lidard et al 2015). The activated CCN number concentration in the NU-WRF simulation was diagnosed based on the air temperature and supersaturation on the NU-WRF side, and the mass concentration of multiple aerosol species on the WRF-Chem GOCART side.…”

Section: Solutions To the Problem Related To Aerosol-to-cloud Modelingmentioning

confidence: 99%

Overview of the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS)

Iguchi

Choi

Sato

et al. 2015

Prog. in Earth and Planet. Sci.

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This review summarizes the scientific background of and past/prospective update strategies for the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS). ALICIS provides a novel approach for coupling downscaled mesoscale cloud-resolving simulations to large-scale aerosol-transport simulations. Realistic aerosol loading, including spatio-temporal aerosol variations and particle-size spectra, is implemented in the cloudresolving simulations. Prior studies employing ALICIS have demonstrated how the interface introduction significantly improves the reproducibility of the simulated microphysical cloud structure through better representation of aerosol effects on cloud.

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Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales

Cited by 102 publications

References 72 publications

The Role of Aerosol-Cloud-Radiation Interactions in Regional Air Quality—A NU-WRF Study over the United States

The Role of Aerosol-Cloud-Radiation Interactions in Regional Air Quality—A NU-WRF Study over the United States

Biogenic isoprene emissions driven by regional weather predictions using different initialization methods: case studies during the SEAC<sup>4</sup>RS and DISCOVER-AQ airborne campaigns

Overview of the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS)

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Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales

Cited by 102 publications

References 72 publications

The Role of Aerosol-Cloud-Radiation Interactions in Regional Air Quality—A NU-WRF Study over the United States

The Role of Aerosol-Cloud-Radiation Interactions in Regional Air Quality—A NU-WRF Study over the United States

Biogenic isoprene emissions driven by regional weather predictions using different initialization methods: case studies during the SEAC&lt;sup&gt;4&lt;/sup&gt;RS and DISCOVER-AQ airborne campaigns

Overview of the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS)

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Product

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Biogenic isoprene emissions driven by regional weather predictions using different initialization methods: case studies during the SEAC<sup>4</sup>RS and DISCOVER-AQ airborne campaigns