The online model, Weather Research and Forecasting Model with Chemistry (WRF-Chem) is employed to interpret the effects of aerosol-cloud-precipitation interaction on mesoscale meteorological fields over Northeast Asia during the Megacity Air Pollution Study-Seoul (MAPS-Seoul) 2015 campaign. The MAPS-Seoul campaign is a pre-campaign of the Korea-United States Air Quality (KORUS-AQ) campaign cond...

In this study downward longwave (LW) atmospheric radiation data for the period of 2014–2020 were used to search short-term periodicities using fast Fourier transform (FFT). Several local peaks in power spectrum density found and established. The time series exhibits a significant (exceeding 95% confidence limit), such as at 273 days, 227 200 178 157 110 120 87 73 53–56 35–30 25–27 21 13 9–10 da...

Surface downward longwave radiation (SDLR) is significant with regard to surface energy budgets and climate research. The uncertainty of cloud base height (CBH) retrieval by remote sensing induces the vast majority SDLR estimation errors under cloudy conditions; reliable CBH observation are crucial for determining radiative effect. This study presents a methodology built from 10 thermal spectra...

This study focused on surface radiation budget, one of the essential factors for understanding climate change. Arctic budget was summarized and explained using a satellite product, Clouds Earth’s Radiant Energy System (CERES) Balanced Filled (EBAF), reanalysis data, ERA5. Net records indicated an increasing trend only in ERA5, with EBAF indicating decreasing Circle (AC; poleward from 65°N) 2000...

To evaluate and improve the treatment of clouds and radiation by the climate models of the National Center for Atmospheric Research (NCAR), simulations by the NCAR Community Climate Model version 3 (CCM3), as well as the recently released Community Atmosphere Model version 2 (CAM2), are examined. The Rasch and Kristjánsson prognostic cloud condensate scheme, which is now the standard scheme for...

A pond heat and temperature regulation (PHATR) model was designed to: (1) predict the temperature for earthen outdoor aquaculture ponds and (2) determine the size of energy transfer mechanisms affecting energy gains or losses for these ponds. The model solves a first order, no-linear differential equation using a 4th order Runge-Kutta numerical method and various input data (weather data, pond ...