Results 11 to 20 of about 307 (108)
Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans. [PDF]
J Geophys Res Atmos, 2015 Abstract Moderate Resolution Imaging Spectroradiometer (MODIS) retrieves cloud droplet effective radius (re) and optical thickness (τ) by projecting observed cloud reflectances onto a precomputed look‐up table (LUT). When observations fall outside of the LUT, the retrieval is considered “failed” because no combination of τ and re within the LUT can ...
Cho HM +10 more
europepmc +2 more sources
The Effects of Numerical Dissipation on Hurricane Rapid Intensification With Observational Heating
Journal of Advances in Modeling Earth Systems, Volume 14, Issue 8, August 2022., 2022 Abstract The computational fluid dynamics of hurricane rapid intensification (RI) is examined through idealized simulations using two codes: a community‐based, finite‐difference/split‐explicit model (WRF) and a spectral‐element/semi‐implicit model (NUMA).
M. B. Hasan +4 more
wiley +1 more source
Best Practices of Student Engagement in Online Teaching of HPC and Big Data Research
, 2021 There is a critical nationwide shortage of IT professionals as well as of scientists and engineers with highperformance computing (HPC) and big data related advanced computing skills.
Gobbert, Matthias, Wang, Jianwu
core +1 more source
, 2021 Stochastic precipitation generators can simulate dry and wet rainfall stretches for long durations. Generated precipitation time series data are used in climate projections, impact assessment of extreme weather events, and water resource and agricultural
Neerchal, Nagaraj K. +3 more
core +1 more source
Multi-Task Spatiotemporal Deep Learning Based Arctic Sea Ice Prediction
, 2021 Important natural resources in the Arctic rely heavily on sea ice, making it important to forecast Arctic sea ice changes. Arctic sea ice forecasting often involves two connected tasks: sea ice concentration at each pixel and overall sea ice extent ...
Bourne Jr., Jamal +7 more
core +1 more source
, 2020 Clouds are inherently three dimensional (3D), and simulating radiative transfer (RT) properties accurately requires models that take their 3D effects into account.
Bergstrom, Kirana +6 more
core +1 more source
, 2020 In this project, we look at the Global Climate Models (GCM) of CMIP6 (6th generation of Coupled Model Intercomparison Project). We analyze the cloud parameterizations of three CMIP6 models, namely, NASA-GISS-E2.1-G, NCAR-CESM2 and NOAA-GFDL-CM4, and ...
Huang, Xin +5 more
core +1 more source
, 2020 Dust and sandstorms originating from Earth’s major arid and semi-arid desert areas can significantly affect the climate system and health. Many existing methods use heuristic rules to classify on a pixel-level regarding dust or dust-free.
Gangopadhyay, Aryya +5 more
core +1 more source
, 2020 When examining collocated data from the A-Train satellite constellation, there are a notable number of clouds that CALIOP identifies as transparent but MODIS paradoxically reports as having a high cloud optical thickness (COT), therefore implying that ...
Abraham, Christine +4 more
core +1 more source
Parallel Performance Studies for a 3-D Elliptic Test Problem on the 2018 Portion of the Taki Cluster
, 2020 The new 2018 nodes in the CPU cluster taki in the UMBC High Performance Computing Facility contain two 18-core Intel Skylake CPUs and 384 GB of memory per node, connected by an EDR (Enhanced Data Rate) InfiniBand interconnect. The performance studies use
Ebadi, Richard +2 more
core +1 more source