Numerous studies have examined the reliability of various precipitation products over the Mekong River Basin (MRB) and modeled its basin hydrology. However, there is a lack of comprehensive studies on precipitation‐induced uncertainties in hydrological simulations using process‐based land surface models. This study examines the propagation of precipitation uncertainty into hydrological simulations over the entire MRB using the Community Land Model version 5 (CLM5) at a high spatial resolution of 0.05° (∼5 km) and without any parameter calibration. Simulations conducted using different precipitation datasets are compared to investigate the discrepancies in streamflow, terrestrial water storage (TWS), soil moisture, and evapotranspiration (ET) caused by precipitation uncertainty. Results indicate that precipitation is a key determinant of simulated streamflow in the MRB; peak flow and soil moisture are particularly sensitive to precipitation input. Further, precipitation data with a higher spatial resolution did not improve the simulations, contrary to the common perception that using meteorological forcing with higher spatial resolution would improve hydrological simulations. In addition, since high flow indicators are particularly influenced by precipitation data, the choice of precipitation data could directly impact flood pulse simulations in the MRB. Notable differences are also found among TWS, soil moisture, and ET simulated using different precipitation products. Moreover, TWS, soil moisture, and ET exhibit a varying degree of sensitivity to precipitation uncertainty. This study provides crucial insights on precipitation‐induced uncertainties in process‐based hydrological modeling and uncovers these uncertainties in the MRB.

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Row houses in cold climates with increased shared wall for energy efficiency, suffer from darker interior spaces. Addition of courtyards can solve this problem to some extent, but courtyards are responsible for higher energy consumption during winter. This study investigates an alternative option, i.e. converting courtyard into atrium during winter for assessing its energy and daylight performance in row houses in Toronto. Results are determined by using Design Builder software. Research shows, during winter atrium options in row houses can reduce energy consumption compared to courtyard, but at the same time daylit floor area above target illuminance is also reduced. However, bigger courtyard having large window to wall ratio, clear glazing for courtyard windows and low e coated glazing for skylight can create a balance between increased energy consumption and decreased daylighting inside the house to maximize the benefits from converting courtyard into atrium during winter in Toronto row houses.

Row houses in cold climates with increased shared wall for energy efficiency, suffer from darker interior spaces. Addition of courtyards can solve this problem to some extent, but courtyards are responsible for higher energy consumption during winter. This study investigates an alternative option, i.e. converting courtyard into atrium during winter for assessing its energy and daylight performance in row houses in Toronto. Results are determined by using Design Builder software. Research shows, during winter atrium options in row houses can reduce energy consumption compared to courtyard, but at the same time daylit floor area above target illuminance is also reduced. However, bigger courtyard having large window to wall ratio, clear glazing for courtyard windows and low e coated glazing for skylight can create a balance between increased energy consumption and decreased daylighting inside the house to maximize the benefits from converting courtyard into atrium during winter in Toronto row houses.