Sensitivity of a Mesoscale Model to Microphysical Parameterizations in the MAP SOP Events IOP2b and IOP8
Explore this paper's citation graph
- Type
- article
- Published
- 2007-09-01
- Cited by
- 13
- References
- 33
- Access
- Open access
- OpenAlex
- https://openalex.org/W2178728951
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:124226948
Keywords
Mesoscale meteorology, MM5, Precipitation, Environmental science, Meteorology
References
- Microphysics of Clouds and Precipitation
- Statistical Methods in the Atmospheric Sciences: An Introduction
- Sensitivity of quantitative precipitation forecasts to boundary layer parameterization: a flash flood case study in the Western Mediterranean
- Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis
- The MAP special observing period
- Fall speeds and masses of solid precipitation particles
- Data assimilation of high‐density observations. II: Impact on the forecast of the precipitation for the MAP/SOP IOP2b
- Improvement of Microphysical Parameterization through Observational Verification Experiment
- Modelling precipitation in frontal rainbands
- Verification of high‐resolution real‐time forecasts over the Alpine region during the MAP SOP
- Nonlocal Boundary Layer Vertical Diffusion in a Medium-Range Forecast Model
- A diagnostic study of three heavy precipitation episodes in the western Mediterranean region
- The 13–14 December 2001 IMPROVE-2 Event. Part II: Comparisons of MM5 Model Simulations of Clouds and Precipitation with Observations
- The 13–14 December 2001 IMPROVE-2 Event. Part III: Simulated Microphysical Budgets and Sensitivity Studies
- Fall Velocity of Snowflakes
- Statistical Methods in the Atmospheric Sciences
- Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model
- The sensitivity of simulated orographic precipitation to model components other than cloud microphysics
- Evaluation of MM5 and Eta-10 Precipitation Forecasts over the Pacific Northwest during the Cool Season
- Orographic effects on rainfall in MAP cases IOP 2b and IOP 8
Cited by
- Diagnostic Verification of Atmospheric Water Cycle Predicted by Regional Mesoscale Models and Ensemble Systems
- Multiparameter Raman Lidar Measurements for the Characterization of a Dry Stratospheric Intrusion Event
- Heavy precipitation events in the Mediterranean: sensitivity to cloud physics parameterisation uncertainties
- Investigating the sensitivity of high-resolution mesoscale models to microphysical parameters by the use of polarimetric radar observations
- Flood forecast in complex orography coupling distributed hydro-meteorological models and in-situ and remote sensing data
- Sensitivity of quantitative precipitation forecast to soil moisture initialization and microphysics parametrization
- Extracting statistical parameters of extreme precipitation from a NWP model
- The role of precipitation size distributions in km‐scale NWP simulations of intense precipitation: evaluation of cloud properties and surface precipitation
- Modelling strategies for performing convection-permitting climate simulations
- Impacts of WRF Model Domain Size on Meiyu Rainfall Forecasts over Zhejiang, China
- Steep orographic effects on local precipitation in the Hengduan Mountain region: Insights from an idealized modeling perspective
- Can ensemble‐based parameter estimation aid parameterization design?
- Extracting statistical parameters of extreme precipitation from a NWP model
- Numerical Modelling Plan
Related papers
- Numerical simulation of radiation fog event in Yangtze River
- Mesoscale Rainstorm Model MRM1 and its Impact Test
- Mesoscale FDDA Experiments with WTM and ACARS Data
- Research on the Distributed Parallel Computation of the Mesoscale Numerical Weather Prediction Model MM5
- Numerical Simulation and Diagnostic Analysis of a Local Rainstorm Process
- An Introduction of the Fifth-Generation PSU/NCAR Mesoscale Model(MM5)I: the handling of Terrain Height and Land-use Characteristics
- THE CURRENT STATUS OF MESOSCALE NUMERICAL MODEL DEVELOPMENT AND ITS APPLICATION PROSPECTS
- Numerical Weather Forecast and Parallel Computing
- A Test for the Ability of Mesoscale Numerical Model Using the Data of the Hong Kong Wind Profiler