Fail:Narrated Distributed Water Balance of the Nile Basin.webm
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Necen JPG ezikacundan suruz' nahodib necile WEBM failale: 800 × 450 piksel'ad. Toine laskendad: 320 × 180 piksel'ad | 640 × 360 piksel'ad | 1280 × 720 piksel'ad.
Originaline fail (WebM-fail (heli ja video), VP9/Opus, kestus: 2m 52s, 1280 × 720 pikslit, üldbitikiirus: 11,66 Mb/s, faili suurus: 239,26 mb)
Nece fail om Wikimedia Commons da sidä voib kävutada toižiš projektoiš. Tedod siš failan kirjutesen lehtpol' kacu alemba.
Lühüd kirjutuz
KirjutuzNarrated Distributed Water Balance of the Nile Basin.webm |
English: This visualization shows how satellite data and NASA models are being applied to study the hydrology of the Nile basin. The Tropical Rainfall Measurement Mission (TRMM) Multisensor Precipitation Analysis (TMPA) provides three-hourly estimates of rainfall rate across much of the globe. Here we see the seasonal cycle of monthly precipitation derived from TMPA for Africa, including the Nile Basin. The annual migration of the Intertropical Convergence Zone (ITCZ) from the Nile Equatorial Lakes region around Lake Victoria, source of the White Nile, northward into Sudan and the highlands of Ethiopia, headwaters of the Blue Nile, and back is evident in the seasonal cycle in precipitation. This precipitation cycle drives flow through the Nile River system. The Nile basin, however, is intensely evaporative, and the majority of the water that falls as rain leaves the basin as evaporation rather than river flow—either from the humid headwaters regions or from large reservoirs and irrigation developments in Egypt and Sudan. The Atmosphere Land Exchange Inverse (ALEXI) evapotranspiration product, developed by USDA scientists, uses satellite data to map daily evapotranspiration across the entire Nile basin, providing unprecedented information on water consumption. The balance of rainfall and evapotranspiration can be seen in seasonal patterns of soil moisture, as simulated by the NASA Nile Land Data Assimilation System (LDAS), which merges satellite information with a physically-based land surface model to simulate variability in soil moisture—a critical variable for rainfed agriculture and natural ecosystems. Finally, the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) can be used to monitor variability in total water storage, including surface water, soil moisture, and groundwater. The annual cycle in GRACE estimates of water storage anomalies clearly shows the seasonal movement of water storage due to precipitation patterns and the movement of surface waters from headwaters regions into the wetlands of South Sudan and the reservoirs of the lower Nile basin.
The Nile is the longest river in the world and its basin is shared by 11 countries. Reliable, spatially distributed estimates of hydrologic storage and fluxes can provide critical information for water managers contending with multiple resource demands, a variable and changing climate, and the risk of damaging floods and droughts. NASA observations and modeling systems offer unique capabilities to meet these information needs.
Українська: Ця відео показує, як супутникові дані та моделі NASA застосовуються для вивчення гідрології басейну Нілу.
Français : Visualisation de la manière dont les données satellitaires et les modèles de la NASA sont utilisés pour étudier l'hydrologie du bassin du Nil.
العربية: يوضح هذا التصور كيفية تطبيق بيانات الأقمار الصناعية ونماذج ناسا لدراسة هيدرولوجيا (علم المياه) لحوض النيل.
Čeština: Vizualizace ukazuje využití satelitních dat a matematických modelů agentury NASA pro znázornění různých hydrologických parametrů v povodí Nilského bazénu.
Эрзянь: Те ванмось невти, кода спутникень даннойтнэ NASA тевс нолдыть Нил леенть чудеманзо гидрологиянть. |
Päiv | |
Augotižtekst | https://svs.gsfc.nasa.gov/11223 |
Tegii | NASA's Goddard Space Flight Center |
Hinnang
This file was selected as the media of the day for 12 February 2021. It was captioned as follows:
Other languages
العربية: يوضح هذا التصور كيفية تطبيق بيانات الأقمار الصناعية ونماذج ناسا لدراسة هيدرولوجيا (علم المياه) لحوض النيل. Čeština: Vizualizace ukazuje využití satelitních dat a matematických modelů agentury NASA pro znázornění různých hydrologických parametrů v povodí Nilu. English: This visualization shows how satellite data and NASA models are being applied to study the hydrology of the Nile basin. Français : Visualisation de la manière dont les données satellitaires et les modèles de la NASA sont utilisés pour étudier l'hydrologie du bassin du Nil. Эрзянь: Те ванмось невти, кода спутникень даннойтнэ NASA тевс нолдыть Нил леенть чудеманзо гидрологиянть.
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Licenzii
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See fail on avalikus omandis, sest selle autori NASA autoriõiguspõhimõtte järgi ei ole ilma vastava märketa NASA materjalid autoriõigusega kaitstud. (NASA autoriõiguspõhimõtted või JPL-i piltide kasutuspõhimõtted). | ||
Hoiatused:
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Selles failis kujutatud üksused
kujutab eesti
15. Semendku 2013
MIME type inglise
video/webm
Failan istorii
Paina päiväle/aigale, miše nägištada, mitte fail oli sil aigal.
Päiv/Aig | Kuvaine | Suruded | Kävutai | Kirjutez | |
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nügüdläine | 25. Sulaku 2020, kell 22:22 | 2m 52s, 1280×720 (239,26 mb) | Killarnee | Imported media from https://svs.gsfc.nasa.gov/vis/a010000/a011200/a011223/Nile_ET_VO_no_music_prores.mov |
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