Cloud Cover Movie Free ((TOP)) Download Hd
Gabriella Kallin
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Cloud cover (also known as cloudiness, cloudage, or cloud amount) refers to the fraction of the sky obscured by clouds on average when observed from a particular location.[2] Okta is the usual unit for measurement of the cloud cover. The cloud cover is correlated to the sunshine duration as the least cloudy locales are the sunniest ones while the cloudiest areas are the least sunny places, as clouds can block sunlight, especially at sunrise and sunset where sunlight is already limited.
The global cloud cover averages around 0.68 when analyzing clouds with optical depth larger than 0.1. This value is lower (0.56) when considering clouds with an optical depth larger than 2, and higher when counting subvisible cirrus clouds.[3] Particularly over the oceans cloud cover is persistent with an average 72% of cloud cover.[4]
Clouds play multiple critical roles in the climate system and diurnal cycle. In particular, being bright objects in the visible part of the solar spectrum, they efficiently reflect light to space and thus contribute to the cooling of the planet, as well as trapping remaining heat at night. Cloud cover thus plays an important role in the energetic balance of the atmosphere and a variation of it is a factor and consequence of and to the climate change expected by recent studies.[5]
On a continental scale, it can be noticed based upon a long-term satellite recording of cloudiness data that on a year-mean basis, Europe, North America, South America and Asia are dominated by cloudy skies due to the westerlies, monsoon or other effects. On the other hand, Africa, the Middle East and Australia are dominated by clear skies due to their continentality and aridity.[8]
On a regional scale, it can be also worthy of note that some exceptionally humid areas of Earth experience cloudy conditions virtually all time such as South America's Amazon Rainforest while some highly arid areas experience clear-sky conditions virtually all the time such as Africa's Sahara Desert.[8]
Cloud cover is an important component of understanding and predicting the weather. Not only does cloud cover impact sky conditions and inform precipitation predictions, it also helps regulate the temperature that occurs in a region.
Clouds form throughout all the levels of the atmosphere and affect both weather and climate. The type and amount of clouds that commonly form over a region impact the precipitation conditions. Cloud cover may also influence temperatures at the surface of the planet.
Water evaporates from the ground and condenses in the atmosphere, resulting in a wide variety of cloud shapes: from large, puffy clouds to wispy formations. When there are few clouds in a region, it generally signals the presence of a high-pressure system, which means that residents can expect fair weather and no precipitation. Certain clouds, such as low-level, short, cumulus clouds, indicate that fair weather is moving into the area. Residents can expect sunny skies and little precipitation. When high-level cirrus or low-level stratus clouds increase in a region, the region can expect to see precipitation from an incoming low-pressure system. Cirrus clouds are thin, wispy clouds that usually occur in the upper levels of the atmosphere ahead of a storm. Stratus clouds are thin-layered, gray clouds that can result in light precipitation.
Cloud cover can also limit the cooling that occurs in a region at night. Typically, the solar heat absorbed by the ground during the day is released at night as Earth cools. The warm air near the ground rises in a process known as radiative cooling. However, if thick cloud cover is present over a region where such radiative cooling is happening, some of the heat is trapped and reflected back to Earth by the clouds. This keeps the surface warmer than it would be during a night without cloud cover.
Abstract. Absorbing aerosols (AAs) such as black carbon (BC) or dust absorb incoming solar radiation, perturb the temperature structure of the atmosphere, and influence cloud cover. Previous studies have described conditions under which AAs either increase or decrease cloud cover. The effect depends on several factors, including the altitude of the AA relative to the cloud and the cloud type. We attempt to categorize the effects into several likely regimes. Cloud cover is decreased if the AAs are embedded in the cloud layer. AAs below cloud may enhance convection and cloud cover. AAs above cloud top stabilize the underlying layer and tend to enhance stratocumulus clouds but may reduce cumulus clouds. AAs can also promote cloud cover in convergent regions as they enhance deep convection and low level convergence as it draws in moisture from ocean to land regions. Most global model studies indicate a regional variation in the cloud response but generally increased cloud cover over oceans and some land regions, with net increased low-level and/or reduced upper level cloud cover. The result is a net negative semi-direct effect feedback from the cloud response to AAs. In some of these climate model studies, the cooling effect of BC due to cloud changes is strong enough to essentially cancel the warming direct effects.
Applying a cloud mask in zones where there are to much clouds, changes dramatically the image (in this case in over Bogota-Colombia). And, in some cases it generates holes in the image. thats why i dont want to change anything about the image.
Finally, is right to use 'CLOUDY_PIXEL_PERCENTAGE' instead of 'cloud' for filter the less cloudy image over your study area? If you use it, you're filtering using the whole image, not your study area. You must consider changing the last sort operation
My task is to get all Sentinel 2 images from a specific time. Then I want to filter this collection by a maximum cloud coverage over an area of interest, which is imported before as a shapefile. I use this Image Collection later to calculate and export the maximum NDVI.
I know how to filter Cloud Percentage over the whole scene, but as I need only a small AOI too many images get filtered. So my Problem is to not filter the cloud probability over the whole scene, but just over the small polygon (AOI).
I usually get around to this problem first clipping the collection over the region of interest and then filtering by cloud percentage. I don't know if this is something recommended or if there's something more efficient because I just started learning python and using geemap, anyway, here's the code:
Being a newbie I don't really know what is considered bad cloud cover for stargazing. For the past 2 months the clearest night has had 30% cloud cover and the worst has been 100% (nothing comes thru, not even the moon). For instance, tonight the forecasts call for a 40% cloud cover, would you work with that?
I don't know about you, but I get really frustrated to just being able to observe at something for 30 seconds intervals, and then have to move on to something else, where in my limited star hopping experience would be even more difficult to locate due to clouds scattered and sweeping thru from every where.
The longer a stretch of cloudy weather, the less picky one gets. When you are actively hopping around the sky's few clear spots, desperately trying for available targets, the holes are called "sucker holes". I usually won't go out if there are more than 20% clouds if the satellite views show clouds will continue heading my way. If the forecast is for clearing, I'll load up and head out if the clearing happens.
30% cloud cover would be fine if it was all located in one part of the sky. The problem is that it is just a latticework of sucker holes that change by the minute and can be very frustrating to deal with. I'll take a pass Unless I have gone a long time without or perhaps for lunar observing.
To me, bad cloud cover is any cloud cover that interferes with observing. Period. That could mean a completely opaque sky to high thin cirrus clouds that ruin transparency. It could mean scattered clouds that move fast enough that the sucker holes don't allow enough time to get to anything meaningful.
If the sky is 30 percent or more cloudy, I probably would not drive anywhere to observe, unless it's something like the upcoming total lunar eclipse at the end of this month. It's not just cloud cover, seeing and transparency also matter. If clearing is on the way that night, I have driven out to one of my darker sites and watched the skies clear out, though often the seeing sucks during nights like that. However, the excellent transparency that sometimes comes along makes observations of challenging galaxies and nebulae possible, which makes taking the 15-incn out there worthwhile. Often in my area the sky where the clouds aren't suffers from poor transparency and or seeing when there's that much cloud cover. As for the OP, don't give up on the eclipse just yet, sometimes the clouds relent when you least expect it.
One of my best skys had some clouds and bit of haze. Was during a Mars close encounter. The sky settled to zero air turbulence and suddenly increadible detail. Fortunately able to share the view with my friends at work as in our parking lot.
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