Quantifying the sensitivity of warm rain to aerosols is important for constraining climate model estimates of aerosol indirect effects. In this study, the precipitation sensitivity to cloud droplet number concentration (Nd) in satellite retrievals is quantified by applying the precipitation susceptibility metric to a combined CloudSat/Moderate Resolution Imaging Spectroradiometer data set of st...

A hybrid (physical–statistical) scheme is developed to resolve the finescale distribution of daily precipitation over complex terrain. The scheme generates precipitation by combining information from the upper-air conditions and from sparsely distributed station measurements; thus, it proceeds in two steps. First, an initial estimate of the precipitation is made using a simplified orographic pr...

[1] Precipitation data for Seoul, Korea, have been recorded since 1778, representing one of the world’s longest instrumental measurements of daily precipitation. Trends in summer precipitation amount, intensity, and indices of climate extremes are studied. The detected trends were tested using trend-to-noise ratio test, nonparametric Mann– Kendall rank statistic and Monte Carlo simulation proce...

Hydrologic and ecologic studies in mountainous terrain are sensitive to the temporal and spatial distribution of precipitation. In this study a geostatistical model, Auto-Searched Orographic and Atmospheric Effects Detrended Kriging (ASOADeK), is introduced to map mountain precipitation using only precipitation gauge data. The ASOADeK model considers both precipitation spatial covariance and or...

Chen, L.; Zhai, H.; Wang, P.; Zhang, Q.; S.; Duan, L., and Jeng, D.-S., 2022. Experimental study on irregular wave (current)-induced pore-water pressures around a monopile. Journal of Coastal Research, 38(1), 114–132. Coconut Creek (Florida), ISSN 0749-0208. In this study, series flume tests was systematically conducted to the monopile under current loading, as well hydrodynamic response. Unlik...

The real-time availability of several satellite-based precipitation products has recently provided hydrologists with an unprecedented opportunity to improve current hydrologic prediction capability for vast river basins, particularly for ungauged regions. However, the accuracy of real-time satellite precipitation data remains uncertain. This study aims to use three widely used real-time satelli...

Lack of reliable long-term precipitation record from northern Tibetan Plateau has constrained the understanding of precipitation variation in this region. An ice core drilled from the Puruogangri Ice Field on central Tibetan Plateau in the year 2000 helped reveal the precipitation variations since AD 1600. Analysis of the annual accumulation 5 data presented precipitation changes from AD 1600, ...

Robust validation of the space–time structure of remotely sensed precipitation estimates is critical to improving their quality and confident application in water cycle–related research. In this work, the performance of the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System (PERSIANN-CCS) precipitation product is evaluated agai...

Short-range forecasts of precipitation fields are needed in a wealth of agricultural, hydrological, ecological and other applications. Forecasts from numerical weather prediction models are often biased and do not provide uncertainty information. Here we present a postprocessing technique for such numerical forecasts that produces correlated probabilistic forecasts of precipitation accumulation...

Expansion of the tropics will likely affect subtropical precipitation, but observed and modeled precipitation trends disagreewith each other.Moreover, the dynamic processes at the tropical edge and their interactionswith precipitation are not well understood. This study assesses the skill of climate models to reproduce observed Australian precipitation variability at the tropical edge. A multiv...