The document describes the water cycle, which is the continuous movement of water on, above, and below the surface of the Earth. It explains that the sun heats water in the oceans causing evaporation into water vapor which forms clouds. As air rises, it cools and condenses into rain, snow, or other precipitation which falls back to Earth's surface and collects in lakes, rivers, and oceans - completing the cycle. The document also covers related topics like humidity, cloud types, precipitation types, thunderstorms, tornadoes, and hurricanes.
Clouds
What are clouds?
A cloud is a large collection of very tiny droplets of water or ice crystals. The droplets are so small and light that they can float in the air.
Why do clouds float?
A cloud is made up of liquid water droplets. A cloud forms when air is heated by the sun. As it rises, it slowly cools it reaches the saturation point and water condenses, forming a cloud. As long as the cloud and the air that its made of is warmer than the outside air around it, it floats!
There are 3 main types of clouds:
Cirrus or thin feathery clouds
Stratus or layered clouds
Cumulus or fluffy clouds
Cirrus Clouds
Are the most common of the
high clouds. They are composed of ice and are thin, wispy clouds blown in high winds into long streamers. Cirrus clouds are usually white and predict fair to pleasant weather. By watching the movement of cirrus clouds you can tell from which direction weather is approaching. When you see cirrus clouds, it usually indicates that a change in the weather will occur within 24 hours.
Stratus Clouds
are uniform grayish clouds that often cover the entire sky. They resemble fog that doesn't reach the ground. Light mist or drizzle sometimes falls out of these clouds.
Cumulus Clouds
are white, puffy clouds that look like pieces of floating cotton. Cumulus clouds are often called "fair-weather clouds". The base of each cloud is flat and the top of each cloud has rounded towers. When the top of the cumulus clouds resemble the head of a cauliflower, it is called cumulus congestus or towering cumulus. These clouds grow upward and they can develop into giant cumulonimbus clouds, which are thunderstorm clouds.
The Importance of Clouds
Clouds help regulate Earth's energy balance by reflecting and scattering solar radiation and by absorbing Earth's infrared energy.
Clouds are required for precipitation to occur and, hence are an essential part of the hydrologic cycle.
Clouds indicate what type of atmospheric processes are occurring (e.g., cumulus clouds indicate surface heating and atmospheric turbulence).
Clouds help redistribute extra heat from the equator toward the poles.
References
https://www.google.com/search?q=clouds&biw=1366&bih=624&source=lnms&tbm=isch&sa=X&ved=0ahUKEwixqOqjlu3NAhVHNpQKHbtGCE0Q_AUIBigB#imgrc=_
https://www.google.com/search?biw=1366&bih=624&tbm=isch&q=clouds+clipart&sa=X&ved=0ahUKEwir8paml-3NAhXGkJQKHSrFAPUQhyYIHQ&dpr=1#imgrc=WZWIVB52x_MJRM%3A
https://en.wikipedia.org/wiki/List_of_cloud_types
http://www.weatherwizkids.com/weather-clouds.htm
Clouds
What are clouds?
A cloud is a large collection of very tiny droplets of water or ice crystals. The droplets are so small and light that they can float in the air.
Why do clouds float?
A cloud is made up of liquid water droplets. A cloud forms when air is heated by the sun. As it rises, it slowly cools it reaches the saturation point and water condenses, forming a cloud. As long as the cloud and the air that its made of is warmer than the outside air around it, it floats!
There are 3 main types of clouds:
Cirrus or thin feathery clouds
Stratus or layered clouds
Cumulus or fluffy clouds
Cirrus Clouds
Are the most common of the
high clouds. They are composed of ice and are thin, wispy clouds blown in high winds into long streamers. Cirrus clouds are usually white and predict fair to pleasant weather. By watching the movement of cirrus clouds you can tell from which direction weather is approaching. When you see cirrus clouds, it usually indicates that a change in the weather will occur within 24 hours.
Stratus Clouds
are uniform grayish clouds that often cover the entire sky. They resemble fog that doesn't reach the ground. Light mist or drizzle sometimes falls out of these clouds.
Cumulus Clouds
are white, puffy clouds that look like pieces of floating cotton. Cumulus clouds are often called "fair-weather clouds". The base of each cloud is flat and the top of each cloud has rounded towers. When the top of the cumulus clouds resemble the head of a cauliflower, it is called cumulus congestus or towering cumulus. These clouds grow upward and they can develop into giant cumulonimbus clouds, which are thunderstorm clouds.
The Importance of Clouds
Clouds help regulate Earth's energy balance by reflecting and scattering solar radiation and by absorbing Earth's infrared energy.
Clouds are required for precipitation to occur and, hence are an essential part of the hydrologic cycle.
Clouds indicate what type of atmospheric processes are occurring (e.g., cumulus clouds indicate surface heating and atmospheric turbulence).
Clouds help redistribute extra heat from the equator toward the poles.
References
https://www.google.com/search?q=clouds&biw=1366&bih=624&source=lnms&tbm=isch&sa=X&ved=0ahUKEwixqOqjlu3NAhVHNpQKHbtGCE0Q_AUIBigB#imgrc=_
https://www.google.com/search?biw=1366&bih=624&tbm=isch&q=clouds+clipart&sa=X&ved=0ahUKEwir8paml-3NAhXGkJQKHSrFAPUQhyYIHQ&dpr=1#imgrc=WZWIVB52x_MJRM%3A
https://en.wikipedia.org/wiki/List_of_cloud_types
http://www.weatherwizkids.com/weather-clouds.htm
This presentation curates resources, podcasts and screenshots focusing on our changing climate. What are your go-to resources? What inspires? Favorite buzzwords? We welcome your interaction -- comments, questions, suggestions, shares, clips, favorites, likes and hearts.
- Ron Mader (Las Vegas, 2016)
Some history: This presentation was first created in 2008 to review global initiatives in the realm of climate change. An early version debuted at the Environmental Tourism Forum in Monterrey, Mexico.
More info on the Planeta Wiki
http://planeta.wikispaces.com/climate
http://planeta.wikispaces.com/climatenotes
http://planeta.wikispaces.com/climatecop22
http://planeta.wikispaces.com/climatecop21
November 2015 video
https://www.youtube.com/watch?v=lEbgKy57xIU
Class 7th science chapter 8. Winds, Storms and CyclonesSwayam Khobragade
This ppt file is converted into pdf so if u want to use it you may download it and convert it into ppt so u can use it for expaining the concepts of this chapter...... This ppt contains only the information given in the textbook.. This ppt also have the keywords,exercises and other basic knowledge....
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
4. The Water Cycle
Water is constantly moving between sea, air and land
The sun shines and
the sea is heated
heat
5. The Water Cycle
Water is constantly moving between sea, air and land
Evaporation
The water
evaporates and
forms clouds
6. The Water Cycle
Water is constantly moving between sea, air and land
Condensation
As air rises it cools
and condenses. It
reaches the
ground as rain,
snow, sleet or hail.
7. The Water Cycle
Water is constantly moving between sea, air and land
The snow
melts and
flows
Lakes
form
Snow forms
10. Humidity
It is the amount of water vapor in the air .
The higher the temperature the more water
vapor it can hold
Warm air can absorb much more water vapor
than cold air
11. Relative Humidity
The amount of water vapor in the air compared to the
total amount that air can hold at that temperature .
When water can’t hold water vapor anymore the relative
humidity is 100%
12. • When the air is saturated or filled with water vapor
,any additional water vapor will condenses in to a
liquid ….This temperature is called “Dew point “
16. Naming clouds
• we can call the clouds according to their altitude by
adding prefix or suffix.
Example:
Prefix “Cirro “ Clouds formed at high altitude
“Alto “ Middle altitude
“Nimbo” They are clouds bringing thunder
storm
Suffix Nimbus They are clouds bringing
thunder storm
29. Stratus cloud
• Long lasting precipitation with smaller raindrops and snow
flakes
30. Measuring amount of rainfall
• People have measured rainfall for thousands of years.
• It is especially important for farmers to know how much
rain will fall this year.
• The instrument used to measure rain fall is called “Rain
Gauge”
31. Thunderstorm
• It begins when intense heat causes air to rise quickly (low
dense air )
• This heated air ,or updraft, then cools and forms clouds.
32. • Updrafts hold water droplets and ice crystals in the cloud.
• When they grow too heavy for the updrafts to support , they fall
as rain or hail.
33. • As the precipitation falls many of the raindrops and ice
crystals collide (hit each other) .
• Downdrafts in the cloud also cause falling air to brush
against rising air .
• This results in the formation of electric charge at the bottom
of the cloud .
• (Negative electric charges build up in the bottom of the
cloud.)
34. • When enough of a charge builds up ,it produces a huge
spark ,which is called “lightning “ .
• Lightning superheats the air around it ,where air expands
suddenly (spread out ) then contracts as it cools.
• This rapid movement of air produces sound waves that are
heard as “thunder “
35. Tornado
• It is a violently rotating column of air that extends
downward from thunderclouds and touches the
ground.
36. • A tornado starts when moist hot air mixes with cold dry air .
• On hot days ,rising air (low density) causes powerful updrafts .
• The air begins to spin in the cloud ,if the updraft is strong air
rushes with high speed decreasing the pressure at the center.
• As more air rushes in ,the air pressure at the center decreases
more and more ,increasing the spinning speed .
• Soon a funnel forms that may reach the ground
37.
38. • The swirling funnel starts to descend.
• The wind speed in the tornado can reach 500km/hr or
more.
39. • The force of the tornado ‘s winds destroy houses ,
cars and anything in its path.
40. Hurricane
It is a large ,rotating tropical storm
system with wind speeds of at least
119km/hr
41. What is a hurricane?
A hurricane is a very destructive and dangerous
storm. It forms in stages. The hurricanes are filled
with rain, strong winds, lightning, thunder, hail
and tornadoes.
Stages of the hurricane :
1)Tropical depression
2)Tropical storm
3)Hurricane (wind speed 120km/hr)
42.
43. • It starts as thunderstorm over the ocean near the equator .
• The heat causes air above the ocean to be warm with low pressure
,and evaporation of the water (area of tropical depression)
• As the water vapor rises up , the temperature decreases causing it
condensation and release of energy causing the warming of air that
causes the decrease in density more and more.
• AS the air pressure falls ,the wind grow stronger when winds near the
center reach 120km/hr the storm is considered hurricane .
• Hurricanes produce huge amount of rain .
44. What is eye of a hurricane?
While some hurricanes, are
small, others can be quite
large. Hurricanes are mighty
storms.
In the center of a hurricane
is an eye. Ironically, the eye
is actually a calm area in a
hurricane.
