Soil moisture (SM) is a critical land surface variable that modulates land–atmosphere interactions through the partitioning of surface energy and moisture fluxes. This study examines the sensitivity of forecasts of poleward-moving, landfalling tropical cyclones (TCs) to initial SM condition. We conducted Weather Research and Forecasting (WRF) model experiments for three recent TCs that affected South Korea using initial SM from the Global Land Data Assimilation System (GLDAS) Noah v2.1 and the European Centre for Medium-Range Weather Forecasts Reanalysis v5 (ERA5), hereafter referred to as the GL and ERA5 runs, respectively. The ERA5 run maintained positive SM differences relative to the GL run over a trough-development region spanning Northeast China and adjacent Mongolia, although the differences were spatially heterogeneous across the broader land domain. The GL runs had smaller landfall-period track errors in the three selected cases, with the clearest separation for Hinnamnor. During the later forecast period, the ERA5 run produced a westward-to-northwestward track displacement relative to the GL run, accompanied by a deeper, more westward-displaced mid-latitude trough and a modified upper-level steering environment. Process-oriented diagnostics indicate a physically consistent sequence linking persistent differences originating from the SM initialization to surface flux and moist thermodynamic responses, stronger ascent, trough modification, steering flow differences, and the simulated TC track response. These results demonstrate sensitivity of medium-range mid-latitude circulation and poleward-moving TC track forecasts to the prescribed initial SM condition.
The tropical land-ocean precipitation partitioning is skewed toward the land. This study assesses how CO
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increase and uniform sea surface temperature increase affect this partitioning. We analyze 14-year global simulations conducted with the ICON model at 10-km horizontal grid spacing, at which convection is si...
M. Schulz, C. Hohenegger· Journal of Climate· 0 citations
Understanding how rainfall variability regulates land-surface thermal conditions is essential for climate-sensitive regions where water availability, vegetation dynamics, and heat stress interact. However, the temporal persistence and spatial heterogeneity of rainfall–surface temperature relationships remain insufficie...
Nafia Muntakim, M. Hossain, Z. Ahmed et al.· American Journal of Remote S...· 0 citations
The Arctic atmosphere intricately impacts midlatitude weather and climate across diverse timescales. Thus, an accurate representation of the Arctic and its surrounding regions in numerical weather prediction models is critical across many applications, including fire weather, aviation forecasts, marine forecasts, e...
Temple R. Lee, Sandip Pal, Howard J. Diamond et al.· Weather and forecasting· 0 citations
As part of a project aimed at improving the Canadian High‐Resolution Deterministic Prediction System, the parameterization for bare‐ground evaporation is revisited and a new method, improving upon the soil‐resistance method used at the European Centre for Medium‐range Weather Forecasts (ECMWF), is proposed. Higher va...
Vincent Fortin, Marc Verville, Vincent Vionnet et al.· Quarterly Journal of the Roy...· 0 citations