A nonhydrostatic model based on a new approach

Janjić, Zavisă

doi:10.1007/s00703-001-0587-6

Cited by 316 publications

(171 citation statements)

References 19 publications

Supporting

Mentioning

170

Contrasting

Order By: Relevance

“…Different RCMs have different coupling strategies and numerical approaches. In the Eta model and NCEP's WRF/NMM dynamical core (Janjic et al, , 2010Janjic, 2003), the values of atmospheric variables along the 2nd outermost line of grid points ("inner boundary") are defined as horizontal four-point averages, thus being an average of the prescribed or extrapolated values on the outermost line and values on the third outermost line of points, which are fully predicted (Mesinger and Janjic, 1974;Mesinger, 1977). Probably more important than the four-point averaging for dynamic downscaling is that a simple first order upstream semi-Lagrangian scheme is used in three rows along the boundaries starting from the third outermost line (e.g.…”

Section: Lbc Couplingmentioning

confidence: 99%

A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability

Xue

Janjić

Dudhia

et al. 2014

Atmospheric Research

203

133

View full text Add to dashboard Cite

Regional climate models (RCMs) have been developed and extensively applied for dynamically downscaling coarse resolution information from different sources, such as general circulation models (GCMs) and reanalyses, for different purposes including past climate simulations and future climate projection. Thus far, the nature, the methods, and a number of crucial issues concerning the use of dynamic downscaling are still not well understood. The most important issue is whether, and if so, under what conditions dynamic downscaling is really capable of adding more information at different scales compared to the GCM or reanalysis that imposes lateral boundary conditions (LBCs) to the RCMs. There are controversies regarding the downscaling ability. In this review paper we present several factors that have consistently demonstrated strong impact on dynamic downscaling ability in intraseasonal and seasonal simulations/predictions and future projection. Those factors include setting of the RCM experiment (e.g. imposed LBC quality, domain size and position, LBC coupling, and horizontal resolution); as well as physical processes, mainly convective schemes and vegetation and soil processes that include initializations, vegetation specifications, and planetary boundary layer and surface coupling. These studies indicate that RCMs have downscaling ability in some aspects but only under certain conditions. Any significant weaknesses in one of these aspects would cause an RCM to lose its dynamic downscaling ability. This paper also briefly presents challenges faced in current RCM dynamic downscaling and future prospective, which cover the application of coupled ocean-atmosphere RCMs, ensemble applications, and future projections.

show abstract

Section: Lbc Couplingmentioning

confidence: 99%

A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability

Xue

Janjić

Dudhia

et al. 2014

Atmospheric Research

203

133

View full text Add to dashboard Cite

show abstract

“…The experiments in this study were carried out using the Nonhydrostatic Mesoscale Model core of the Weather Research and Forecasting (WRF-NMM) atmospheric regional model system (Janjic 2003;Janjic et al 2001). The WRF-NMM is an advanced fully-compressible regional model currently maintained and supported by NOAA/ NCEP and the Developmental Test-bed Center.…”

Section: The Modelmentioning

confidence: 99%

Impact of burned areas on the northern African seasonal climate from the perspective of regional modeling

2015

View full text Add to dashboard Cite

“…The model domain covers the continental United States with a 12 km horizontal grid spacing. All simulations use the same meteorology for July 2011, generated by the Weather Research and Forecasting Nonhydrostatic Mesoscale Model (WRF-NMM) [Janjic, 2003], to exclude the effect of varying weather conditions on surface O 3 . The performance of this modeling system to predict O 3 and its key precursors has been extensively evaluated with ground and field campaign data [Chai et al, 2013;Pan et al, 2014;Tong et al, 2015].…”

Section: 1002/2016gl069885mentioning

confidence: 99%

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NO_x emissions

Tong

Pan

Chen

et al. 2016

Geophysical Research Letters

View full text Add to dashboard Cite

Satellite and ground observations detected large variability in nitrogen oxides (NOx) during the 2008 economic recession, but the impact of the recession on air quality has not been quantified. This study combines observed NOx trends and a regional chemical transport model to quantify the impact of the recession on surface ozone (O3) levels over the continental United States. The impact is quantified by simulating O3 concentrations under two emission scenarios: business‐as‐usual (BAU) and recession. In the BAU case, the emission projection from the Cross‐State Air Pollution Rule is used to estimate the “would‐be” NOx emission level in 2011. In the recession case, the actual NO2 trends observed from Air Quality System ground monitors and the Ozone Monitoring Instrument on the Aura satellite are used to obtain “realistic” changes in NOx emissions. The model prediction with the recession effect agrees better with ground O3 observations over time and space than the prediction with the BAU emission. The results show that the recession caused a 1–2 ppbv decrease in surface O3 concentration over the eastern United States, a slight increase (0.5–1 ppbv) over the Rocky Mountain region, and mixed changes in the Pacific West. The gain in air quality benefits during the recession, however, could be quickly offset by the much slower emission reduction rate during the post‐recession period.

show abstract

A nonhydrostatic model based on a new approach

Cited by 316 publications

References 19 publications

A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability

A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability

Impact of burned areas on the northern African seasonal climate from the perspective of regional modeling

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NO_x emissions

Contact Info

Product

Resources

About

A nonhydrostatic model based on a new approach

Cited by 316 publications

References 19 publications

A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability

A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability

Impact of burned areas on the northern African seasonal climate from the perspective of regional modeling

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NOx emissions

Contact Info

Product

Resources

About

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NO_x emissions