MPAS | Modify Source Code
Comparing changes https://github.com/MPAS-Dev/MPAS-Model/compare/release-v8.1.0...v8.2.2 Compilation 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515
57 posts in total
MPAS | MPAS UCM | Urban Canopy Model | HKUST
MPAS | Convert LCZs into static.nc WRF | MPAS | UCM Urban canopy parameters (UCPs) WRF | MPAS | UCM and LCZs Map of Local Climate Zones (LCZs) MPAS workshop 2025 Developing and Evaluating the MPAS
MPAS | CRITICAL ERROR NaN detected in 'w' field" crash after MPASv8.0.0 | config_len_disp
config_len_disp Regarding the 'config_len_disp' option, with MPAS v8.0 it's no longer necessary to specify this length scale if you're using new meshes from the mesh download page, since these new mes
MPAS | Joint MPAS/WRF Users Workshop 2026 | MPASv8.4.1
Joint MPAS/WRF Users Workshop 2026 MPAS-Atmosphere: Update Data Assimilation with MPAS-JEDI: 2026 Annual update The Weather Research and Forecasting Model: 2026 Annual Update WRF development has sl
MPAS | Simple MPAS I/O Layer (SMIOL)
Simple MPAS I/O Layer (SMIOL) The Simple MPAS I/O Layer (SMIOL) is a lightweight, parallel I/O library introduced in MPAS v8.0+ as an alternative to the Parallel I/O (PIO) library. It provides necessa
MPAS | Tangential Velocity at Edge
Literature review Skamarock, W. C., Klemp, J. B., Duda, M., Fowler, L., & Park, S. H. (2010, November). Global nonhydrostatic modeling using Voronoi meshes: the MPAS model. In Proceedings of the
MPAS | Eddy dissipation rate (EDR)
NWP | Eddy Dissipation Rate (EDR) Analysis and Simulations for the Severe Turbulence Event Aloft Myanmar on 21 May 2024. Leung, Christy Yan Yu, et al. "Analysis and Simulations for the Severe Turb
NWP | Boussinesq and Anelastic Approximations in Atmospheric Science
Simplifying the Skies: An Introduction to Boussinesq and Anelastic Approximations in Atmospheric Science In the quest to understand and predict the complex motions of the atmosphere, scientists rely o
MPAS | meshDensity
dx_p, len_disp, and meshDensity in NWP and specifically in MPAS-A, and their relationships: Definitions: dx_p: dx_p generally refers to the horizontal grid spacing or the local mesh resolution. It
MPAS | Real-Time Forecasts
MMM Real-Time Forecasts (MPAS) https://project.mmm.ucar.edu/real-time-forecasts/ The real-time forecasts produced with the Model for Prediction Across Scales-Atmosphere (MPAS-A) . These experimental
MPAS | WRF | FDDA | Spectral nudging
Nudging Nudging, also known as four-dimensional data assimilation (FDDA), is a method of keeping simulations close to analyses and/or observations or forcing data over the course of an integration by
MPAS | Scalability | Speedup
WRF | MPAS | MPI | halo/ghost cell MPAS | -fp-model precise Speedup Introduction Speedup tells you how much faster your parallel algorithm can be than its sequential counterpart. Scalability tel
MPAS | Long Term Run study
Long run study SST udpated I will analyze the experimental design involving a 1-year NWP simulation using MPAS-A initialized with ERA5 data, comparing a control run with initial conditions to an exper
MPAS | xtime to pd.datetime
MPAS xtime format 1234[[b'2023-01-01_00:00:00 '] [b'2023-01-01_12:08:00 '] [b'2023-01-
MPAS | -fp-model precise
Overview The -fp-model precise flag is a compiler option used to control floating-point behavior in programs, ensuring strict adherence to value-safe optimizations when implementing floating-point cal
NWP | Why is RH preferred over mixing ratio for initial moisture in NWP models
MPAS-A https://mpas-dev.github.io/atmosphere/mpas-a_release_notes.html https://github.com/MPAS-Dev/MPAS-Model/commit/635532ebd0677675eafcaa07c1bc701997b896fe MPAS-Atmosphere Version 5.3 22 March 201
MPAS | Joint MPAS/WRF Users Workshop 2025 | MPASv8.3.0
Joint MPAS/WRF Users Workshop 2025 | 3-6 June 2025 MPAS-Atmosphere Users' Guide V8.3.0 MPAS-A Technical Description Links https://mpas-dev.github.io/ /MPAS-Model/releases MPAS-Atmosphere Users' Gui
MPAS | WRF | cloud fraction | module_mp_thompson_cldfra3
Cloud fraction Cloud fraction is an important variable in numerical weather prediction (NWP) models that help to improve the accuracy of weather forecasts. It is a measure of the fraction of the sky t
