Articles | Volume 16, issue 2
https://doi.org/10.5194/gmd-16-597-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-597-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
26 Jan 2023
Model evaluation paper |
| 26 Jan 2023
| 26 Jan 2023
Evaluation of a cloudy cold-air pool in the Columbia River basin in different versions of the High-Resolution Rapid Refresh (HRRR) model
CIRES, University of Colorado, Boulder, CO, USA
NOAA Physical Sciences Laboratory, Boulder, CO, USA
James M. Wilczak
NOAA Physical Sciences Laboratory, Boulder, CO, USA
Jaymes Kenyon
NOAA Global Systems Laboratory, Boulder, CO, USA
current address: NOAA National Weather Service, Grand Rapids, MI, USA
Laura Bianco
CIRES, University of Colorado, Boulder, CO, USA
NOAA Physical Sciences Laboratory, Boulder, CO, USA
Irina V. Djalalova
CIRES, University of Colorado, Boulder, CO, USA
NOAA Physical Sciences Laboratory, Boulder, CO, USA
Joseph B. Olson
NOAA Global Systems Laboratory, Boulder, CO, USA
David D. Turner
NOAA Global Systems Laboratory, Boulder, CO, USA
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Atmos. Meas. Tech., 18, 3533–3546, https://doi.org/10.5194/amt-18-3533-2025, https://doi.org/10.5194/amt-18-3533-2025, 2025
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Christopher J. Cox, Janet M. Intrieri, Brian J. Butterworth, Gijs de Boer, Michael R. Gallagher, Jonathan Hamilton, Erik Hulm, Tilden Meyers, Sara M. Morris, Jackson Osborn, P. Ola G. Persson, Benjamin Schmatz, Matthew D. Shupe, and James M. Wilczak
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Bianca Adler, David D. Turner, Laura Bianco, Irina V. Djalalova, Timothy Myers, and James M. Wilczak
Atmos. Meas. Tech., 17, 6603–6624, https://doi.org/10.5194/amt-17-6603-2024, https://doi.org/10.5194/amt-17-6603-2024, 2024
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Tessa E. Rosenberger, David D. Turner, Thijs Heus, Girish N. Raghunathan, Timothy J. Wagner, and Julia Simonson
Atmos. Meas. Tech., 17, 6595–6602, https://doi.org/10.5194/amt-17-6595-2024, https://doi.org/10.5194/amt-17-6595-2024, 2024
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Laura Bianco, Bianca Adler, Ludovic Bariteau, Irina V. Djalalova, Timothy Myers, Sergio Pezoa, David D. Turner, and James M. Wilczak
Atmos. Meas. Tech., 17, 3933–3948, https://doi.org/10.5194/amt-17-3933-2024, https://doi.org/10.5194/amt-17-3933-2024, 2024
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Nevio Babić, Bianca Adler, Alexander Gohm, Manuela Lehner, and Norbert Kalthoff
Weather Clim. Dynam., 5, 609–631, https://doi.org/10.5194/wcd-5-609-2024, https://doi.org/10.5194/wcd-5-609-2024, 2024
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Volker Wulfmeyer, Christoph Senff, Florian Späth, Andreas Behrendt, Diego Lange, Robert M. Banta, W. Alan Brewer, Andreas Wieser, and David D. Turner
Atmos. Meas. Tech., 17, 1175–1196, https://doi.org/10.5194/amt-17-1175-2024, https://doi.org/10.5194/amt-17-1175-2024, 2024
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Maria P. Cadeddu, Virendra P. Ghate, David D. Turner, and Thomas E. Surleta
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Gianluca Di Natale, David D. Turner, Giovanni Bianchini, Massimo Del Guasta, Luca Palchetti, Alessandro Bracci, Luca Baldini, Tiziano Maestri, William Cossich, Michele Martinazzo, and Luca Facheris
Atmos. Meas. Tech., 15, 7235–7258, https://doi.org/10.5194/amt-15-7235-2022, https://doi.org/10.5194/amt-15-7235-2022, 2022
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William J. Shaw, Larry K. Berg, Mithu Debnath, Georgios Deskos, Caroline Draxl, Virendra P. Ghate, Charlotte B. Hasager, Rao Kotamarthi, Jeffrey D. Mirocha, Paytsar Muradyan, William J. Pringle, David D. Turner, and James M. Wilczak
Wind Energ. Sci., 7, 2307–2334, https://doi.org/10.5194/wes-7-2307-2022, https://doi.org/10.5194/wes-7-2307-2022, 2022
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This paper provides a review of prominent scientific challenges to characterizing the offshore wind resource using as examples phenomena that occur in the rapidly developing wind energy areas off the United States. The paper also describes the current state of modeling and observations in the marine atmospheric boundary layer and provides specific recommendations for filling key current knowledge gaps.
Heather Guy, David D. Turner, Von P. Walden, Ian M. Brooks, and Ryan R. Neely
Atmos. Meas. Tech., 15, 5095–5115, https://doi.org/10.5194/amt-15-5095-2022, https://doi.org/10.5194/amt-15-5095-2022, 2022
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Fog formation is highly sensitive to near-surface temperatures and humidity profiles. Passive remote sensing instruments can provide continuous measurements of the vertical temperature and humidity profiles and liquid water content, which can improve fog forecasts. Here we compare the performance of collocated infrared and microwave remote sensing instruments and demonstrate that the infrared instrument is especially sensitive to the onset of thin radiation fog.
James B. Duncan Jr., Laura Bianco, Bianca Adler, Tyler Bell, Irina V. Djalalova, Laura Riihimaki, Joseph Sedlar, Elizabeth N. Smith, David D. Turner, Timothy J. Wagner, and James M. Wilczak
Atmos. Meas. Tech., 15, 2479–2502, https://doi.org/10.5194/amt-15-2479-2022, https://doi.org/10.5194/amt-15-2479-2022, 2022
Short summary
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In this study, several ground-based remote sensing instruments are used to estimate the height of the convective planetary boundary layer, and their performance is compared against independent boundary layer depth estimates obtained from radiosondes launched as part of the CHEESEHEAD19 field campaign. The impact of clouds (particularly boundary layer clouds) on the estimation of the boundary layer depth is also investigated.
Irina V. Djalalova, David D. Turner, Laura Bianco, James M. Wilczak, James Duncan, Bianca Adler, and Daniel Gottas
Atmos. Meas. Tech., 15, 521–537, https://doi.org/10.5194/amt-15-521-2022, https://doi.org/10.5194/amt-15-521-2022, 2022
Short summary
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In this paper we investigate the synergy obtained by combining active (radio acoustic sounding system – RASS) and passive (microwave radiometer) remote sensing observations to obtain temperature vertical profiles through a radiative transfer model. Inclusion of the RASS observations leads to more accurate temperature profiles from the surface to 5 km above ground, well above the maximum height of the RASS observations themselves (2000 m), when compared to the microwave radiometer used alone.
Heather Guy, Ian M. Brooks, Ken S. Carslaw, Benjamin J. Murray, Von P. Walden, Matthew D. Shupe, Claire Pettersen, David D. Turner, Christopher J. Cox, William D. Neff, Ralf Bennartz, and Ryan R. Neely III
Atmos. Chem. Phys., 21, 15351–15374, https://doi.org/10.5194/acp-21-15351-2021, https://doi.org/10.5194/acp-21-15351-2021, 2021
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We present the first full year of surface aerosol number concentration measurements from the central Greenland Ice Sheet. Aerosol concentrations here have a distinct seasonal cycle from those at lower-altitude Arctic sites, which is driven by large-scale atmospheric circulation. Our results can be used to help understand the role aerosols might play in Greenland surface melt through the modification of cloud properties. This is crucial in a rapidly changing region where observations are sparse.
Raghavendra Krishnamurthy, Rob K. Newsom, Larry K. Berg, Heng Xiao, Po-Lun Ma, and David D. Turner
Atmos. Meas. Tech., 14, 4403–4424, https://doi.org/10.5194/amt-14-4403-2021, https://doi.org/10.5194/amt-14-4403-2021, 2021
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David D. Turner and Ulrich Löhnert
Atmos. Meas. Tech., 14, 3033–3048, https://doi.org/10.5194/amt-14-3033-2021, https://doi.org/10.5194/amt-14-3033-2021, 2021
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Temperature and humidity profiles in the lowest couple of kilometers near the surface are very important for many applications. Passive spectral radiometers are commercially available, and observations from these instruments have been used to get these profiles. However, new active lidar systems are able to measure partial profiles of water vapor. This paper investigates how the derived profiles of water vapor and temperature are improved when the active and passive observations are combined.
Cited articles
Adler, B.: Selected HRRRv4 model output and plotting scripts for “Evaluation of a cloudy cold-air pool in the Columbia River Basin in different versions of the HRRR model”, Zenodo [data set], https://doi.org/10.5281/zenodo.6713495, 2022. a
Adler, B., Wilczak, J. M., Bianco, L., Djalalova, I., Duncan Jr., J. B., and
Turner, D. D.: Observational case study of a persistent cold pool and gap
flow in the Columbia River Basin, J. Appl. Meteorol. Clim., 60,
1071–1090, https://doi.org/10.1175/JAMC-D-21-0013.1, 2021. a, b, c, d, e, f, g, h, i, j, k, l, m, n
Arthur, R. S., Juliano, T. W., Adler, B., Krishnamurthy, R., Lundquist, J. K.,
Kosovic, B., and Jimenez, P. A.: Improved representation of horizontal
variability and turbulence in mesoscale simulations of an extended cold-air
pool event, J. Appl. Meteorol. Clim., 61, 685–707,
https://doi.org/10.1175/JAMC-D-21-0138.1, 2022. a, b, c
Benjamin, S. G., Weygandt, S. S., Brown, J. M., Hu, M., Alexander, C. R., Smirnova, T. G., Olson, J. B., James, E. P., Dowell, D. C., Grell, G. A., Lin, H., Peckham, S. E., Smith, T. L., Moninger, W. R., Kenyon, J. S., and Manikin, G. S.: A North American hourly assimilation and model forecast cycle: The
Rapid Refresh, Mon. Weather Rev., 144, 1669–1694,
https://doi.org/10.1175/MWR-D-15-0242.1, 2016. a, b
Berg, L. K., Liu, Y., Yang, B., Qian, Y., Krishnamurthy, R., Sheridan, L., and
Olson, J.: Time evolution and diurnal variability of the parametric
sensitivity of turbine-height winds in the MYNN-EDMF parameterization, J. Geophys. Res., 126, e2020JD034000, https://doi.org/10.1029/2020JD034000, 2021. a, b
Bianco, L., Djalalova, I. V., Wilczak, J. M., Cline, J., Calvert, S.,
Konopleva-Akish, E., Finley, C., and Freedman, J.: A wind energy ramp tool
and metric for measuring the skill of numerical weather prediction models,
Weather Forecast., 31, 1137–1156, https://doi.org/10.1175/WAF-D-15-0144.1, 2016. a
Bianco, L., Muradyan, P., Djalalova, I., Wilczak, J., Olson, J., Kenyon, J.,
Kotamarthi, R., Lantz, K., Long, C., and Turner, D.: Comparison of
observations and predictions of daytime planetary-boundary-layer heights and
surface meteorological variables in the Columbia River Gorge and Basin
during the Second Wind Forecast Improvement Project, Bound.-Lay.
Meteorol., 182, 147–172, https://doi.org/10.1007/s10546-021-00645-x, 2021. a
Crosman, E. T. and Horel, J. D.: Large-eddy simulations of a Salt Lake Valley
cold-air pool, Atmos. Res., 193, 10–25,
https://doi.org/10.1016/j.atmosres.2017.04.010, 2017. a
Djalalova, I. V., Turner, D. D., Bianco, L., Wilczak, J. M., Duncan, J., Adler, B., and Gottas, D.: Improving thermodynamic profile retrievals from microwave radiometers by including radio acoustic sounding system (RASS) observations, Atmos. Meas. Tech., 15, 521–537, https://doi.org/10.5194/amt-15-521-2022, 2022. a, b
Dowell, D. C., Alexander, C. R., James, E. P., Weygandt, S. S., Benjamin,
S. G., Manikin, G. S., Blake, B. T., Brown, J. M., Olson, J. B., Hu, M.,
Smirnova, T. G., Ladwig, T., Kenyon, J. S., Ahmadov, R., Turner, D. D., and
Alcott, T. I.: The High-Resolution Rapid Refresh (HRRR): An hourly updating
convection-permitting forecast model. Part 1: Motivation and system
description, Weather Forecast., 37, 1371–1395,
https://doi.org/10.1175/WAF-D-21-0151.1, 2022. a, b, c
Draxl, C., Worsnop, R. P., Xia, G., Pichugina, Y., Chand, D., Lundquist, J. K., Sharp, J., Wedam, G., Wilczak, J. M., and Berg, L. K.: Mountain waves can impact wind power generation, Wind Energ. Sci., 6, 45–60, https://doi.org/10.5194/wes-6-45-2021, 2021. a
Hagman, M., Svensson, G., and Angevine, W.: Forecast of low clouds over a snow
surface in the Arctic using the WRF model, Mon. Weather Rev., 149, 2559–2579,
https://doi.org/10.1175/MWR-D-20-0396.1, 2021. a
Holtslag, A. A. M., Svensson, G., Baas, P., Basu, S., Beare, B., Beljaars, A. C. M., Bosveld, F. C., Cuxart, J., Lindvall, J., Steeneveld, G. J., Tjernström, M., and Van De Wiel, B. J. H.: Stable
atmospheric boundary layers and diurnal cycles: Challenges for weather and
climate models, B. Am. Meteorol. Soc., 94, 1691–1706,
https://doi.org/10.1175/BAMS-D-11-00187.1, 2013. a
Horel, J., Splitt, M., Dunn, L., Pechmann, J., White, B., Ciliberti, C.,
Lazarus, S., Slemmer, J., Zaff, D., and Burks, J.: Mesowest: Cooperative
mesonets in the western United States, B. Am. Meteorol. Soc., 83,
211–226, https://doi.org/10.1175/1520-0477(2002)083<0211:MCMITW>2.3.CO;2, 2002. a, b
Hughes, J. K., Ross, A. N., Vosper, S. B., Lock, A. P., and Jemmett-Smith, B. C.: Assessment of valley cold pools and clouds in a very high-resolution numerical weather prediction model, Geosci. Model Dev., 8, 3105–3117, https://doi.org/10.5194/gmd-8-3105-2015, 2015. a
James, E. P., Alexander, C. R., Dowell, D. C., Weygandt, S. S., Benjamin,
S. G., Manikin, G. S., Brown, J. M., Olson, J. B., Hu, M., Smirnova, T. G.,
Ladwig, T., Kenyon, J. S., and Turner, D. D.: The High-Resolution Rapid
Refresh (HRRR): An hourly updating convection-allowing forecast model. Part
2: Forecast performance, Weather Forecast., 37, 1397–1417,
https://doi.org/10.1175/WAF-D-21-0130.1, 2022. a, b
Lareau, N. P. and Horel, J. D.: Turbulent erosion of persistent cold-air pools:
Numerical simulations, J. Atmos. Sci., 72, 1409–1427,
https://doi.org/10.1175/JAS-D-14-0173.s1, 2015. a
Lareau, N. P., Crosman, E., Whiteman, C. D., Horel, J. D., Hoch, S. W., Brown,
W. O., and Horst, T. W.: The persistent cold-air pool study, B. Am. Meteorol. Soc., 94, 51–63, https://doi.org/10.1175/BAMS-D-11-00255.1, 2013. a
Lu, W. and Zhong, S.: A numerical study of a persistent cold air pool episode
in the Salt Lake Valley, Utah, J. Geophys. Res., 119, 1733–1752,
https://doi.org/10.1002/2013JD020410, 2014. a
McCaffrey, K., Wilczak, J. M., Bianco, L., Grimit, E., Sharp, J., Banta, R.,
Friedrich, K., Fernando, H., Krishnamurthy, R., Leo, L. S., and Paytsar, M.:
Identification and characterization of persistent cold pool events from
temperature and wind profilers in the Columbia River Basin, J. Appl. Meteorol. Clim., 58, 2533–2551, https://doi.org/10.1175/JAMC-D-19-0046.1, 2019. a
Neemann, E. M., Crosman, E. T., Horel, J. D., and Avey, L.: Simulations of a cold-air pool associated with elevated wintertime ozone in the Uintah Basin, Utah, Atmos. Chem. Phys., 15, 135–151, https://doi.org/10.5194/acp-15-135-2015, 2015. a, b
Neiman, P. J., Gottas, D. J., and White, A. B.: A two-cool-season wind
profiler–based analysis of westward-directed gap flow through the Columbia
River Gorge, Mon. Weather Rev., 147, 4653–4680,
https://doi.org/10.1175/MWR-D-19-0026.1, 2019. a
Olson, J.: joeolson42/WRFv3.9_HRRRv4: WRFv3.9_HRRRv4 (final_HRRR_code), Zenodo [code], https://doi.org/10.5281/zenodo.6672455, 2022. a
Olson, J. and Kenyon, J.: joeolson42/WFIP2: WFIP2 Experimental HRRR version 1.0 (EXPv1.0), Zenodo [code], https://doi.org/10.5281/zenodo.3369984, 2019. a
Olson, J. B., Kenyon, J. S., Angevine, W. A., Brown, J. M., Pagowski, M., and
Sušelj, K.: A description of the MYNN-EDMF Scheme and the coupling to
other components in WRF–ARW, NOAA Technical Memorandum OAR GSD, 61,
https://doi.org/10.25923/n9wm-be49, 2019a. a
Olson, J. B., Kenyon, J. S., Djalalova, I., Bianco, L., Turner, D. D., Pichugina, Y., Choukulkar, A., Toy, M. D., Brown, J. M., Angevine, W. M., Akish, E., Bao, J., Jimenez, P., Kosovic, B., Lundquist, K. A., Draxl, C., Lundquist, J. K., McCaa, J., McCaffrey, K., Lantz, K., Long, C., Wilczak, J., Banta, R., Marquis, M., Redfern, S., Berg, L. K., Shaw, W., and Cline, J.: Improving wind energy forecasting through numerical weather
prediction model development, B. Am. Meteorol. Soc., 100, 2201–2220,
https://doi.org/10.1175/BAMS-D-18-0040.1, 2019b. a, b, c, d, e, f, g, h, i, j
Reeves, H. D., Elmore, K. L., Manikin, G. S., and Stensrud, D. J.: Assessment
of forecasts during persistent valley cold pools in the Bonneville Basin by
the North American Mesoscale Model, Weather Forecast., 26, 447–467,
https://doi.org/10.1175/WAF-D-10-05014.1, 2011. a
Sengupta, M., Habte, A., Gotseff, P., Weekley, A., Lopez, A., Anderberg, M.,
Molling, C., and Heidinger, A.: Physics-based GOES product for use in NREL's
national solar radiation database: Preprint, Solar 2014, 6–10 July 2014,
San Francisco, California,
https://www.osti.gov/biblio/1351563 (last access: 11 August 2020), 2014. a
Shaw, W. J., Berg, L. K., Cline, J., Draxl, C., Djalalova, I., Grimit, E. P., Lundquist, J. K., Marquis, M., McCaa, J., Olson, J. B., Sivaraman, C., Sharp, J., and Wilczak, J. M.: The Second
Wind Forecast Improvement Project (WFIP2): general overview, B. Am. Meteorol. Soc., 100, 1687–1699, https://doi.org/10.1175/BAMS-D-18-0036.1, 2019. a
Sun, X. and Holmes, H. A.: Surface turbulent fluxes during persistent cold-air
pool events in the Salt Lake Valley, Utah. Part I: observations, J. Appl. Meteorol. Clim., 58, 2553–2568, https://doi.org/10.1175/JAMC-D-19-0053.1, 2019. a
Synoptic Data: Mesonet API,
https://developers.synopticdata.com/mesonet/, last access: 6 April 2021. a
Turner, D. D. and Blumberg, W. G.: Improvements to the AERIoe thermodynamic
profile retrieval algorithm, IEEE J. Sel. Top. Appl., 12, 1339–1354,
https://doi.org/10.1109/JSTARS.2018.2874968, 2019. a
Turner, D. D. and Löhnert, U.: Information content and uncertainties in
thermodynamic profiles and liquid cloud properties retrieved from the
ground-based atmospheric emitted radiance interferometer (AERI), J. Appl. Meteorol. Clim., 53, 752–771, https://doi.org/10.1175/JAMC-D-13-0126.1, 2014. a
Turner, D. D. and Löhnert, U.: Ground-based temperature and humidity profiling: combining active and passive remote sensors, Atmos. Meas. Tech., 14, 3033–3048, https://doi.org/10.5194/amt-14-3033-2021, 2021. a, b
U.S. Department of Energy: Atmosphere to Electrons: Second Wind Forecast Improvement Project (WFIP2), U.S. Department of Energy [data set], https://a2e.energy.gov/data#wfip2, last access: 8 July 2020. a
VanReken, T. M., Dhammapala, R. S., Jobson, B. T., Bottenus, C. L.,
VanderSchelden, G. S., Kaspari, S. D., Gao, Z., Zhu, Q., Lamb, B. K., Liu,
H., and Johnston, J.: Role of persistent low-level clouds in mitigating air
quality impacts of wintertime cold pool conditions, Atmos. Environ., 154, 236–246, https://doi.org/10.1016/j.atmosenv.2017.01.043, 2017. a
Wei, L., Pu, Z., and Wang, S.: Numerical simulation of the life cycle of a
persistent wintertime inversion over Salt Lake City, Bound.-Lay.
Meteorol., 148, 399–418, https://doi.org/10.1007/s10546-013-9821-2, 2013.
a
Whiteman, C. D. and Hoch, S. W.: Pseudovertical temperature profiles in a broad
valley from lines of temperature sensors on sidewalls, J. Appl. Meteorol. Clim., 53, 2430–2437, https://doi.org/10.1175/JAMC-D-14-0177.1, 2014. a
Whiteman, C. D., Bian, X., and Zhong, S.: Wintertime evolution of the
temperature inversion in the Colorado Plateau Basin, J. Appl. Meteorol., 38,
1103–1117, https://doi.org/10.1175/1520-0450(1999)038<1103:WEOTTI>2.0.CO;2, 1999. a
Whiteman, C. D., Zhong, S., Shaw, W. J., Hubbe, J. M., Bian, X., and
Mittelstadt, J.: Cold pools in the Columbia Basin, Weather Forecast., 16,
432–447, https://doi.org/10.1175/1520-0434(2001)016<0432:CPITCB>2.0.CO;2, 2001. a, b, c, d
Wilczak, J. M., Stoelinga, M., Berg, L. K., Sharp, J., Draxl, C., McCaffrey, K., Banta, R. M., Bianco, L., Djalalova, I., Lundquist, J. K., Muradyan, P., Choukulkar, A., Leo, L., Bonin, T., Pichugina, Y., Eckman, R., Long, C. N., Lantz, K., Worsnop, R. P., Bickford, J., Bodini, N., Chand, D., Clifton, A., Cline, J., Cook, D. R., Fernando, H. J. S., Friedrich, K., Krishnamurthy, R., Marquis, M., McCaa, J., Olson, J. B., Otarola-Bustos, S., Scott, G., Shaw, W. J., Wharton, S., and White, A. B.: The
Second Wind Forecast Improvement Project (WFIP2): Observational field
campaign, B. Am. Meteorol. Soc., 100, 1701–1723,
https://doi.org/10.1175/BAMS-D-18-0035.1, 2019. a, b, c, d, e
Wilson, T. H. and Fovell, R. G.: Modeling the evolution and life cycle of
radiative cold pools and fog, Weather Forecast., 33, 203–220,
https://doi.org/10.1175/WAF-D-17-0109.1, 2018. a
Zhong, S., Whiteman, C. D., Bian, X., Shaw, W. J., and Hubbe, J. M.:
Meteorological processes affecting the evolution of a wintertime cold air
pool in the Columbia basin, Mon. Weather Rev., 129, 2600–2613,
https://doi.org/10.1175/1520-0493(2001)129<2600:MPATEO>2.0.CO;2, 2001. a, b
Short summary
Rapid changes in wind speed make the integration of wind energy produced during persistent orographic cold-air pools difficult to integrate into the electrical grid. By evaluating three versions of NOAA’s High-Resolution Rapid Refresh model, we demonstrate how model developments targeted during the second Wind Forecast Improvement Project improve the forecast of a persistent cold-air pool event.
Rapid changes in wind speed make the integration of wind energy produced during persistent...
