Abstract. Climate change impact studies require a reference climatological dataset providing baseline period to assess future changes and post-process climate model biases. High-resolution gridded precipitation temperature datasets interpolated from weather stations are available in regions of high-density networks stations, as is the case most parts Europe United States. In many world's region...

Precipitation is one of the crucial variables in hydrological and water resources studies. Runoff, soil moisture, groundwater recharge, other change with amount precipitation a region. Thus, accurate estimation major issue field modeling. Most studies management decisions Iran are established using situ observation precipitation. However, due to limited spatial distribution lack long-term high-...

The Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) V06 product has been widely studied, but the errors and source of within IMERG over diverse climate regions still need to be quantified. To this end, final run gauge-calibrated (V06C) uncalibrated (V06UC) products are comprehensively evaluated here against 2088 precipitation gauges acquired between March 2014...

Smallholder livelihoods throughout Central America are built on rain-fed agriculture and depend seasonal variations in temperature precipitation. Recent climatic shifts this highly diverse region not well understood due to sparse observations, as the skill of global climate products have been thoroughly evaluated. We examine performance for several reanalysis satellite-based data (CHIRPS/CHIRTS...

Monitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In present study, an attempt was made to assess functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS, NASA POWER, ERA-5, and PERSIANN-CDR with respect gridded India Meteorological Department (IMD) dataset over a period 30+ years (1990–2021) on monthly...

Insufficient precipitation observations hinder the bias-correction of Global Climate Model (GCM) outputs in ungauged and remote areas. As a result, reliability future water resource projections is restricted for these Open-access quantitative estimation (QPE) products offer potential solution to this challenge. This study assesses effectiveness three widely used, long-term QPEs, including ERA5,...

Background Staging vascular cognitive impairment (VCI) might be useful for sample selection in clinical trials and for guiding clinical decision-making. Clinical dementia rating (CDR) has been applied for staging cognitive impairments of different etiologies, but it may underestimate severity of non-Alzheimer's disease cognitive deficits. Methods Out of a total of 147 elderly subjects, 23 (me...

BACKGROUND Acute rheumatic fever and subsequent rheumatic heart disease remain significant in developing countries. We describe a cost-effective analysis of 7 strategies for the primary prevention of acute rheumatic fever and rheumatic heart disease in children presenting with pharyngitis in urban primary care clinics in South Africa. METHODS AND RESULTS We used a Markov model to assess the c...