Multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain

. Coupled surface-atmosphere high-resolution simulations were carried out to understand radiation fog development and persistence in a city surrounded by complex terrain. The controls of mesoscale meteorology and microscale soil moisture heterogeneity on fog were investigated using case studies for the city of Christchurch, New Zealand. Numerical model simulations from the synoptic to micro- scale were carried out using the Weather Research and Forecasting (WRF) model and the Parallelised Large-Eddy Simulation Model (PALM). Heterogeneous soil moisture, land use, and topography were included. 5 The spatial heterogeneity of soil moisture was derived using Landsat 8 (https://www.usgs.gov/landsat-missions/landsat-8, last access: 10 October 2022) satellite imagery and ground-based meteorological observations. Eight simulations were carried out under identical meteorological conditions. One contained homogeneous soil moisture and one contained heterogeneous soil moisture derived from Landsat 8 imagery. For the other six simulations, the soil moisture heterogeneity magnitudes were amplified following the observed spatial distribution to aid our understanding of the impact of soil moisture heterogeneity. Our 10 results showed that soil moisture heterogeneity did not significantly change the general spatial structure of near-surface fog occurrence, even when amplified. However, compared to homogeneous soil moisture, spatial heterogeneity in soil moisture leads to significant changes in radiation fog duration. The resulting changes in fog duration can be more than 50 minutes, although such changes are not directly correlated with spatial variations in soil moisture. The simulations showed that the mesoscale (10 4 to 2 × 10 5 m) meteorology controls the location of fog occurrence, while soil moisture heterogeneity alters fog duration 15 at the microscale (10 − 2 to 10 3 m). Our results highlight the importance of including soil moisture heterogeneity for accurate spatiotemporal fog forecasting.

[1]  S. Kremser,et al.  Fog type classification using a modified Richardson number for Christchurch, New Zealand , 2022, International Journal of Climatology.

[2]  Katrin Frieda Gehrke,et al.  Modeling of land–surface interactions in the PALM model system 6.0: land surface model description, first evaluation, and sensitivity to model parameters , 2021, Geoscientific Model Development.

[3]  M. Manton,et al.  Towards a better understanding of fog at Perth Airport , 2021 .

[4]  S. Dorling,et al.  Sub‐km scale numerical weather prediction model simulations of radiation fog , 2020, Quarterly Journal of the Royal Meteorological Society.

[5]  Julian Zeidler,et al.  Geospatial input data for the PALM model system 6.0: model requirements, data sources, and processing , 2020 .

[6]  S. Raasch,et al.  Mesoscale nesting interface of the PALM model system 6.0 , 2020, Geoscientific Model Development.

[7]  W. Rack,et al.  A Comparison of AMPS Forecasts Near the Ross Sea Polynya With Controlled Meteorological Balloon Observations , 2020, Journal of Geophysical Research: Atmospheres.

[8]  N. Kumari,et al.  Hydrological Response to Agricultural Land Use Heterogeneity Using Variable Infiltration Capacity Model , 2020, Water Resources Management.

[9]  T. Bergot,et al.  Fog in heterogeneous environments: the relative importance of local and non‐local processes on radiative‐advective fog formation , 2020, Quarterly Journal of the Royal Meteorological Society.

[10]  Siegfried Raasch,et al.  Overview of the PALM model system 6.0 , 2019, Geoscientific Model Development.

[11]  M. Katurji,et al.  WRF4PALM v1.0: A Mesoscale Dynamical Driver for the Microscale PALM Model System 6.0 , 2020 .

[12]  Katrin Frieda Gehrke,et al.  Modeling of land-surface interactions in the PALM model system 6.0: Land surface model description, first evaluation, and sensitivity to model parameters , 2020 .

[13]  T. Bergot,et al.  On the Predictability of Radiation Fog Formation in a Mesoscale Model: A Case Study in Heterogeneous Terrain , 2019, Atmosphere.

[14]  Björn Maronga,et al.  Large-eddy simulation of radiation fog with comprehensive two-moment bulk microphysics: impact of different aerosol activation and condensation parameterizations , 2018, Atmospheric Chemistry and Physics.

[15]  V. Masson,et al.  Large eddy simulation of radiation fog: impact of dynamics on the fog life cycle , 2017 .

[16]  Björn Maronga,et al.  PALM-USM v1.0: A new urban surface model integrated into the PALM large-eddy simulation model , 2017 .

[17]  Björn Maronga,et al.  Key parameters for the life cycle of nocturnal radiation fog: a comprehensive large‐eddy simulation study , 2017 .

[18]  Thierry Bergot,et al.  Local Meteorological and Large-Scale Weather Characteristics of Fog over the Grand Casablanca Region, Morocco , 2016 .

[19]  R. Stull.  Practical Meteorology: An Algebra-based Survey of Atmospheric Science , 2016 .

[20]  Ugur Avdan,et al.  Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data , 2016, J. Sensors.

[21]  J. Cuxart.  When Can a High-Resolution Simulation Over Complex Terrain be Called LES? , 2015, Front. Earth Sci..

[22]  Siegfried Raasch,et al.  The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives , 2015 .

[23]  Fotini Katopodes Chow,et al.  Isolating effects of terrain and soil moisture heterogeneity on the atmospheric boundary layer: Idealized simulations to diagnose land‐atmosphere feedbacks , 2015 .

[24]  V. Masson,et al.  Effect of small‐scale surface heterogeneities and buildings on radiation fog: Large‐eddy simulation study at Paris–Charles de Gaulle airport , 2015 .

[25]  Miloslav Belorid,et al.  Distribution and long-term trends in various fog types over South Korea , 2015, Theoretical and Applied Climatology.

[26]  Gert-Jan Steeneveld,et al.  The Challenge of Forecasting the Onset and Development of Radiation Fog Using Mesoscale Atmospheric Models , 2015, Boundary-Layer Meteorology.

[27]  Siegfried Raasch,et al.  The Effect of Surface Heterogeneity on the Structure Parameters of Temperature and Specific Humidity: A Large-Eddy Simulation Case Study for the LITFASS-2003 Experiment , 2014, Boundary-Layer Meteorology.

[28]  Martha C. Anderson,et al.  Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .

[29]  S. Vosper,et al.  Cold‐pool formation in a narrow valley , 2014 .

[30]  Wolfgang Rack,et al.  Soil moisture derived using two apparent thermal inertia functions over Canterbury, New Zealand , 2014 .

[31]  S. Margulis,et al.  Impact of soil moisture heterogeneity length scale and gradients on daytime coupled land‐cloudy boundary layer interactions , 2013 .

[32]  S. Vosper,et al.  High resolution modelling of valley cold pools , 2013 .

[33]  L. Dyson,et al.  Climatological Characteristics of Fog at Cape Town International Airport , 2013 .

[34]  M. Haeffelin,et al.  PARISFOG: Shedding New Light on Fog Physical Processes , 2010 .

[35]  L. Meng,et al.  A Comparison of Soil Moisture Models Using Soil Climate Analysis Network Observations , 2008 .

[36]  Roy Rasmussen,et al.  Event-Based Climatology and Typology of Fog in the New York City Region , 2007 .

[37]  M. Pagowski,et al.  Fog Research: A Review of Past Achievements and Future Perspectives , 2007 .

[38]  Dominique Courault,et al.  Impact of surface heterogeneity on a buoyancy-driven convective boundary layer in light winds , 2007 .

[39]  Ismail Gultepe,et al.  A New Visibility Parameterization for Warm-Fog Applications in Numerical Weather Prediction Models , 2006 .

[40]  A. Sturman,et al.  Temporal evolution of winter smog within a nocturnal boundary layer at Christchurch, New Zealand , 2006 .

[41]  Shepard A. Clough,et al.  Atmospheric radiative transfer modeling: a summary of the AER codes , 2005 .

[42]  Charles Meneveau,et al.  Large‐eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: Blending height and effective surface roughness , 2004 .

[43]  Guosheng Liu,et al.  Journal of the Meteorological Society of Japan(JMSJ) , 2004 .

[44]  D. Roy,et al.  An overview of MODIS Land data processing and product status , 2002 .

[45]  P. Duynkerke,et al.  Radiation Fog: A Comparison of Model Simulation with Detailed Observations , 1991 .

[46]  J. Mason.  The Physics of Radiation Fog , 1982 .

[47]  Liu Xinwu.  This is How the Discussion Started , 1981 .

[48]  W. T. Roach,et al.  The physics of radiation fog: II – a numerical study , 1976 .

[49]  E. Kessler.  On the distribution and continuity of water substance in atmospheric circulations , 1969 .