Results 161 to 170 of about 11,557,211 (324)

Seasonal & Sunspot-cycle Effects in the Occurrence of Equatorial Spread-F Configurations

open access: yes, 1979
135-138A study has been made of the seasonal and solar cycle changes in the occurrence of the range- and frequency-type of spread-F at Kodaikanal (geomag, lat" 0'6o N; dip, 3'5 o N) using ionogram data for the period 1957-69.
Subrahmanya, V   +3 more
core  

Synoptic and large‐scale drivers of extreme precipitation events in the Himalayas

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Months associated with maximum frequency of extreme precipitation events (EPEs). 6102 extreme precipitation days (i.e., exceeding 99th percentile for daily precipitation) occurred across the Karakoram, Western Himalayas (WH), Central Himalayas (CH) and Eastern Himalayas (EH) during 1979 to 2023.
Priya Bharati   +2 more
wiley   +1 more source

A synoptic overview of the EUREC4A field campaign

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The figure shows a summary of the important synoptic features and associated cloud patterns during the EUREC4A field campaign, divided into four subjectively defined periods. In period 1 the fish cloud pattern was dominant, associated with a shear line, and there was an initial transport of dust from West Africa that reached Barbados in the third ...
Leo Saffin   +27 more
wiley   +1 more source

Present-day tropical precipitation and cloud feedbacks determine future equatorial Pacific trends. [PDF]

open access: yesSci Adv
Stevenson S   +6 more
europepmc   +1 more source

Spontaneous zonal symmetry breaking of tropical rain belt

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Precipitable‐water snapshots show how a sea surface temperature (SST)‐forced tropical rain belt can remain zonally elongated or spontaneously reorganize into a localized convective cluster. The simulations identify the SST conditions favoring this zonal convective self‐aggregation and relate the transition to changes in boundary‐layer circulation and ...
Tomoro Yanase, Cathy Hohenegger
wiley   +1 more source

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan   +3 more
wiley   +1 more source

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