The acidity of atmospheric particles and clouds
Acidity, defined as pH, is a central component of aqueous chemistry. In the atmosphere, the
acidity of condensed phases (aerosol particles, cloud water, and fog droplets) governs the …
acidity of condensed phases (aerosol particles, cloud water, and fog droplets) governs the …
Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches
Regulations corroborate the importance of retrofitting existing building stocks or constructing
new energy-efficient districts. There is, thus, a need for modeling tools to evaluate energy …
new energy-efficient districts. There is, thus, a need for modeling tools to evaluate energy …
The High-Resolution Rapid Refresh (HRRR): An hourly updating convection-allowing forecast model. Part I: Motivation and system description
DC Dowell, CR Alexander, EP James… - Weather and …, 2022 - journals.ametsoc.org
Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and …
implementation of the Advanced Research version of the Weather Research and …
[PDF][PDF] A description of the advanced research WRF version 4
WC Skamarock, JB Klemp… - … tech. note ncar …, 2019 - pfigshare-u-files.s3.amazonaws.com
The Weather Research and Forecasting (WRF) Model is an atmospheric modeling system
designed for both research and numerical weather prediction. WRF is an open-source …
designed for both research and numerical weather prediction. WRF is an open-source …
Thirty years of regional climate modeling: where are we and where are we going next?
F Giorgi - Journal of Geophysical Research: Atmospheres, 2019 - Wiley Online Library
The year 2019 marks the thirtieth anniversary of the development of the first regional climate
model (RCM), and here an overview is provided of the progress in regional modeling …
model (RCM), and here an overview is provided of the progress in regional modeling …
Ten questions on urban building energy modeling
Buildings in cities consume up to 70% of all primary energy. To achieve cities' energy and
climate goals, it is necessary to reduce energy use and associated greenhouse gas …
climate goals, it is necessary to reduce energy use and associated greenhouse gas …
Using satellites to uncover large methane emissions from landfills
JD Maasakkers, DJ Varon, A Elfarsdóttir… - Science …, 2022 - science.org
As atmospheric methane concentrations increase at record pace, it is critical to identify
individual emission sources with high potential for mitigation. Here, we leverage the synergy …
individual emission sources with high potential for mitigation. Here, we leverage the synergy …
Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station
Non-predictive or inaccurate weather forecasting can severely impact the community of
users such as farmers. Numerical weather prediction models run in major weather …
users such as farmers. Numerical weather prediction models run in major weather …
The first multi-model ensemble of regional climate simulations at kilometer-scale resolution part 2: historical and future simulations of precipitation
This paper presents the first multi-model ensemble of 10-year,“convection-permitting”
kilometer-scale regional climate model (RCM) scenario simulations downscaled from …
kilometer-scale regional climate model (RCM) scenario simulations downscaled from …
Deep learning-based effective fine-grained weather forecasting model
It is well-known that numerical weather prediction (NWP) models require considerable
computer power to solve complex mathematical equations to obtain a forecast based on …
computer power to solve complex mathematical equations to obtain a forecast based on …