Meteorological big data has a wide geographical range, large space-time density, many types and strong timeliness. It become the requirement of development meteorological industry to quickly extract huge information knowledge from solve problem weather prediction. Based on measured maximum one-hour rainfall six representative stations in Wuhan 1992 2021, variation law, characteristic analysis r...

The hydrometeorology of the Amazon basin in the ERA-40 reanalysis for 1958–2001 is compared with observations of precipitation, temperature, and streamflow. After 1979, the reanalysis over the Amazon has a small cool bias of the order of 0.35 K, and a small low bias of precipitation of the order of 0.3 mm day . In the early years (1958–72), there is a large upward drift in reanalysis precipitat...

[1] Robust responses and links between the tropical energy and water cycles are investigated using multiple datasets and climate models over the period 1979–2006. Atmospheric moisture and net radiative cooling provide powerful constraints upon future changes in precipitation. While moisture amount is robustly linked with surface temperature, the response of atmospheric net radiative cooling, de...

This study uses a statistical downscaling method based on self-organizing maps (SOMs) to produce highresolution, downscaled precipitation estimates over the state of Pennsylvania in the mid-Atlantic region of the United States. The SOMs approach derives a transfer function between large-scale mean atmospheric states and local meteorological variables (daily point precipitation values) of intere...

Anthropogenic disturbances and climate change affect abiotic biotic environmental drivers in forest ecosystems. Global warming impacts the soil moisture content, thus influencing diversity, abundance functioning of microfauna. However, limited studies have been conducted to evaluate impact long-term variation precipitation on A better understanding microfauna under various regimes can aid formu...

The ERA15 Reanalysis (1979–1993) has been dynamically downscaled over Central Europe using 4 different regional climate models. The regional simulations were analysed with respect to 2m temperature and total precipitation, the main input parameters for hydrological applications. Model results were validated against three reference data sets (ERA15, CRU, DWD) and uncertainty ranges were derived....

prediction of precipitation is very important. regarding to the non- linear relationships and uncertainty of models, there is no superior and persuasive model among various proposed models to simulate precise precipitation and its amount. wavelet is one of the novel and very effective methods in time series and signals analyzing, that has been considered in the field of hydrology in recent year...

Retrograde amnesia was assessed in demented and non-demented Parkinson's patients using a test of remote memory spanning the years from 1920-1979. Results indicated that the demented patients 1) scored significantly below normal controls and 2) had equal impairment for all time periods. This pattern was like that seen in other dementing illnesses (i.e., Huntington's and Alzheimer's diseases), b...