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understood that topographic features induce characteristic wind flow patterns on a local scale, such as crest speedup, flow channeling, flow blocking, updraft and downdraft zones, or flow separation downwind of a ridge crest ( Lewis et al. 2008 ). The modification of the near-surface wind field results in preferred deposition of precipitation in the leeward slopes of mountain ridges, discussed in detail by Lehning et al. (2008) . In the case of snow, preferential deposition is defined as the spatially
understood that topographic features induce characteristic wind flow patterns on a local scale, such as crest speedup, flow channeling, flow blocking, updraft and downdraft zones, or flow separation downwind of a ridge crest ( Lewis et al. 2008 ). The modification of the near-surface wind field results in preferred deposition of precipitation in the leeward slopes of mountain ridges, discussed in detail by Lehning et al. (2008) . In the case of snow, preferential deposition is defined as the spatially
stations in real time. We quality controlled these data following three primary steps: 1) de-duplication: limited by power shortage in the high mountain areas, the electronic data were transformed in two forms simultaneously to reducing data loss, that is, network and satellite. The duplicated records were deleted before utilization; 2) completion: a number of missing codes were added with help from the Beijing Meteorological Observation Center, the Yanqing Meteorological Service, and the Hebei
stations in real time. We quality controlled these data following three primary steps: 1) de-duplication: limited by power shortage in the high mountain areas, the electronic data were transformed in two forms simultaneously to reducing data loss, that is, network and satellite. The duplicated records were deleted before utilization; 2) completion: a number of missing codes were added with help from the Beijing Meteorological Observation Center, the Yanqing Meteorological Service, and the Hebei
. Trees , 10 , 218 – 222 . Richardson , A. D. , X. Lee , and A. J. Friedland , 2004 : Microclimatology of treeline spruce-fir forests in mountains of the northeastern United States. Agric. For. Meteor. , 125 , 53 – 66 . Rolland , C. , 2003 : Spatial and seasonal variations of air temperature lapse rates in Alpine regions. J. Climate , 16 , 1032 – 1046 . Running , S. , R. Nemani , and R. Hungerford , 1987 : Extrapolation of synoptic meteorological data in mountainous
. Trees , 10 , 218 – 222 . Richardson , A. D. , X. Lee , and A. J. Friedland , 2004 : Microclimatology of treeline spruce-fir forests in mountains of the northeastern United States. Agric. For. Meteor. , 125 , 53 – 66 . Rolland , C. , 2003 : Spatial and seasonal variations of air temperature lapse rates in Alpine regions. J. Climate , 16 , 1032 – 1046 . Running , S. , R. Nemani , and R. Hungerford , 1987 : Extrapolation of synoptic meteorological data in mountainous
conjunction with meteorological data to investigate the question of airmass discrimination for the Whistler Mountain Observatory. Meteorological explanations are posited for observed seasonal and diurnal patterns in aerosol concentration. This study follows on the work of Nseir (2007) , who examined diurnal cycles of temperature, water vapor, and ozone at the Whistler site for two springtime periods in 2005 and 2006. In that study, an atmospheric stability parameter was used to estimate daily transition
conjunction with meteorological data to investigate the question of airmass discrimination for the Whistler Mountain Observatory. Meteorological explanations are posited for observed seasonal and diurnal patterns in aerosol concentration. This study follows on the work of Nseir (2007) , who examined diurnal cycles of temperature, water vapor, and ozone at the Whistler site for two springtime periods in 2005 and 2006. In that study, an atmospheric stability parameter was used to estimate daily transition
-scale hydrologic variability that result from interactions between climate and human influences. The upper Rio Grande basin is a typical case. The Rio Grande has its headwaters in the San Juan Mountains in Colorado, runs southward through New Mexico, continues through western Texas, and then becomes the border between Texas and Mexico, until it finally flows into the Gulf of Mexico. The upper Rio Grande is the stretch from the headwaters to Fort Quitman, western Texas, before it turns into the U
-scale hydrologic variability that result from interactions between climate and human influences. The upper Rio Grande basin is a typical case. The Rio Grande has its headwaters in the San Juan Mountains in Colorado, runs southward through New Mexico, continues through western Texas, and then becomes the border between Texas and Mexico, until it finally flows into the Gulf of Mexico. The upper Rio Grande is the stretch from the headwaters to Fort Quitman, western Texas, before it turns into the U
. During PRINCE, a number of new measurement strategies were deployed. First, two lidars were positioned on the summit of a mountain. A scanning Doppler lidar measured the wind field, while a scanning rotational Raman lidar measured atmospheric temperature, the particle backscatter coefficient, and the extinction coefficient at a wavelength of 355 nm. Second, a research aircraft was equipped with instruments in order to receive real-time data of meteorological satellites and data from ground
. During PRINCE, a number of new measurement strategies were deployed. First, two lidars were positioned on the summit of a mountain. A scanning Doppler lidar measured the wind field, while a scanning rotational Raman lidar measured atmospheric temperature, the particle backscatter coefficient, and the extinction coefficient at a wavelength of 355 nm. Second, a research aircraft was equipped with instruments in order to receive real-time data of meteorological satellites and data from ground
density-altitude differences—can contribute to hazardous conditions for aviation over complex terrain. In light of these aspects, the current work investigates the potential benefit of incorporating meteorological effects into the precipitous terrain classification. To that end, we utilize turbulence and meteorological observations combined with high-resolution weather forecasts, focused on a region covering the Rocky Mountains of Colorado. The rest of the paper is organized as follows. In section 2
density-altitude differences—can contribute to hazardous conditions for aviation over complex terrain. In light of these aspects, the current work investigates the potential benefit of incorporating meteorological effects into the precipitous terrain classification. To that end, we utilize turbulence and meteorological observations combined with high-resolution weather forecasts, focused on a region covering the Rocky Mountains of Colorado. The rest of the paper is organized as follows. In section 2
The Mount Washington Observatory Regional Mesonet: A Technical Overview of a Mountain-Based Mesonet( Fig. 1 ). National Weather Service Cooperative Weather Stations (COOP) are present at the Appalachian Mountain Club’s (AMC) Pinkham Notch Visitor Center (612 m) at the eastern base of Mount Washington, along with a COOP site in North Conway Village (164 m). Located in the western White Mountains, the U.S. Forest Service Hubbard Brook Experimental Forest has monitored meteorological conditions since 1955. Our network supplements these low elevation monitoring sites by covering the complex terrain
( Fig. 1 ). National Weather Service Cooperative Weather Stations (COOP) are present at the Appalachian Mountain Club’s (AMC) Pinkham Notch Visitor Center (612 m) at the eastern base of Mount Washington, along with a COOP site in North Conway Village (164 m). Located in the western White Mountains, the U.S. Forest Service Hubbard Brook Experimental Forest has monitored meteorological conditions since 1955. Our network supplements these low elevation monitoring sites by covering the complex terrain
remarkable accomplishment and highlight that simultaneous observations from altitudinal transects on either side of the mountain may offer rich insights into mountain meteorology. The Chinese team installed stations based on our 2019 design ( Matthews et al. 2020b ), whereas we updated the choice of wind sensors because of the high failure rate for the model deployed at the South Col and Balcony in 2019, with all (four) being destroyed by strong winds during their first winter. Our new design for the
remarkable accomplishment and highlight that simultaneous observations from altitudinal transects on either side of the mountain may offer rich insights into mountain meteorology. The Chinese team installed stations based on our 2019 design ( Matthews et al. 2020b ), whereas we updated the choice of wind sensors because of the high failure rate for the model deployed at the South Col and Balcony in 2019, with all (four) being destroyed by strong winds during their first winter. Our new design for the
Re-Analysis (ERA-40; Uppala et al. 2005 ) to investigate the meteorological conditions during the 1996 storm. They found that the storm was associated with a drop in summit barometric pressure of approximately 6 hPa and that it was the result of the juxtaposition of two jet streaks—regions of high winds embedded in the subtropical jet stream—that led to an outbreak of organized convective activity that engulfed the mountain. A surface temperature reconstruction based on glacier-length data
Re-Analysis (ERA-40; Uppala et al. 2005 ) to investigate the meteorological conditions during the 1996 storm. They found that the storm was associated with a drop in summit barometric pressure of approximately 6 hPa and that it was the result of the juxtaposition of two jet streaks—regions of high winds embedded in the subtropical jet stream—that led to an outbreak of organized convective activity that engulfed the mountain. A surface temperature reconstruction based on glacier-length data
