A worldwide climatology of the diurnal cycles of low clouds is obtained from surface observations made eight or four times daily at 3or 6-h intervals from weather stations and ships. Harmonic fits to the daily cycle are made for 5388 weather stations with long periods of record, and for gridded data on a 58 3 58 or 108 3 108 latitude–longitude grid over land and ocean areas separately. For all ...

The spatial distribution of automatic weather stations in regions of western China (e.g., Tibet and southern Xingjiang) is relatively sparse. Due to the considerable spatial variability of precipitation, estimations of rainfall that are interpolated in these areas exhibit considerable uncertainty based on the current observational networks. In this paper, a new statistical method for estimating...

The Australian Bureau of Meteorology (BOM) has recently published a homogenised daily temperature dataset, ACORN-SAT, for the monitoring of climate variability and change in Australia. The dataset employs the latest analysis techniques and takes advantage of newly digitised observational data to provide a daily temperature record over the last 100 years. In this paper, we present a case-study t...

[1] In this paper we continue the community-wide rigorous modern space weather model validation efforts carried out within GEM, CEDAR and SHINE programs. In this particular effort, in coordination among the Community Coordinated Modeling Center (CCMC), NOAA Space Weather Prediction Center (SWPC), modelers, and science community, we focus on studying the models’ capability to reproduce observed ...

The Australian Bureau of Meteorology (BOM) has recently published a homogenised daily temperature dataset, ACORN-SAT, for the monitoring of climate variability and change in Australia. The dataset employs the latest analysis techniques and takes advantage of newly digitised observational data to provide a daily temperature record over the last 100 years. In this paper, we present a case-study t...

Normalized Difference Vegetation Index (NDVI) is generally recognized as a good indicator of terrestrial vegetation productivity. Understanding climatic influences, in particular precipitation and temperature, on NDVI enables prediction of productivity changes under different climatic scenarios. We examined temporal responses of remotely sensed NDVI to precipitation and temperature during a nin...

Local studies aimed at assessing the impact of climate variability on crop yield at the individual farm level require the use of weather and climate data. These are often collected at points known as meteorological stations. In West Africa, meteorological stations are sparsely distributed and as a result, are often unable to satisfy the data requirements for such studies. One major problem aris...

Most of the studies on rainwater harvesting analysis present outcomes for particular cities, representing a single set results specific city. However, in reality, significant spatial and weather variabilities may exist, due to which presenting only one city would be misleading. This paper presents potential expected water savings supply reliability through domestic tank an inland An earlier-dev...

■ The wind in the airspace around an airport impacts both airport safety and operational efficiency. Knowledge of the wind helps controllers and automation systems merge streams of traffic; it is also important for the prediction of storm growth and decay, burn-off of fog and lifting of low ceilings, and wake vortex hazards. This knowledge is provided by the Integrated Terminal Weather System (...

Operators of early weather-surveillance radars often observed echoes on their displays that did not behave like weather pattern, including expanding ring-like shapes they called angels. These echoes were caused by high-flying insects, migrating birds, and large colonies of bats emerging from roosts to feed. Modern weather-surveillance radar stations in the United States (NEXt-generation RADar o...