Hail—pieces of ice that form and fall from clouds instead of snow or rain—has always been a problem for farmers in some areas of the United States. Hail pellets can fall with great force and destroy crops in the field. Over the last few decades, a method of reducing hail, called "cloud seeding," has been tried. In cloud seeding, the chemical silver iodide is sprayed on storm clouds from an airplane. This makes the clouds produce harmless rain or snow instead of hail. Several pieces of evidence suggest that cloud seeding has been effective in protecting crops from hail.
Laboratory experiments
Experiments in the laboratory support the idea that cloud seeding is effective. Hail usually forms water vapor that is close to the freezing point However, when experimenters added silver iodide to cold water vapor in the laboratory, they often observed light snow forming instead of hail pellets.
Evidence from Asia
There is evidence about the effectiveness of cloud seeding from several countries around the world. In some Asian countries, for example, cloud seeding has been successfully used to control precipitation in urban areas. These positive results suggest that cloud seeding should also be effective in protecting fields and farms in the United States.
Local studies
A few local studies also support the value of cloud seeding. One study conducted in a farming region in the central United States, for example, directly monitored crop damage due to hail. The study found that in an area where cloud seeding was used there was reduced hail damage compared to previous years
Recently, there has a ton of debates about the feasibility of the cloud seeding process in protecting crops from hail in the United States. <pwa data-pwa-id="pwa-431697899854EA10174150F42A1D8174" data-pwa-rule-id="READABILITY_384" data-pwa-category="style" data-pwa-hint="Readability may be enhanced by using: According" data-pwa-suggestions="According" data-pwa-heavy="false" data-pwa-dictionary-word="More specifically, according" class="pwa-mark pwa-mark-done">More specifically, according</pwa> to the reading passage, the writer puts forth the idea that there are three pieces of evidence confirm the effectiveness of the cloud seeding. In the listening passage, the lecturer is quick to point out there are some serious flaws in the writer's claims. The professor believes that there are some questions on each argument made in the reading passage. <pwa data-pwa-id="pwa-042BD1830AB880209B1D732305EA8FCD" data-pwa-rule-id="READABILITY_814" data-pwa-category="style" data-pwa-hint="Readability may be enhanced by using: She" data-pwa-suggestions="She" data-pwa-heavy="false" data-pwa-dictionary-word="Additionally, she" class="pwa-mark pwa-mark-done">Additionally, she</pwa> addresses the trouble with each point made in the reading text.
<pwa data-pwa-id="pwa-15884C11FB6DA012104A827C829CF87E" data-pwa-rule-id="READABILITY_785" data-pwa-category="style" data-pwa-hint="Readability may be enhanced by using: Foremost" data-pwa-suggestions="Foremost" data-pwa-heavy="false" data-pwa-dictionary-word="First and foremost" class="pwa-mark pwa-mark-done">First and foremost</pwa>, the author of the reading passage states that the data in some laboratory experiments brace the cloud seeding hypothesis. Some professionals in the same field, however, stand in a firm the opposition to this claim. In the listening, such as, the professor states that in the real-life could seeding process prevents any precipitation (rain and snow). She <pwa data-pwa-id="pwa-4CD2819D7329453D3B71D064B8465B0E" data-pwa-rule-id="READABILITY_1169" data-pwa-category="style" data-pwa-hint="Readability may be enhanced by using: says" data-pwa-suggestions="says" data-pwa-heavy="false" data-pwa-dictionary-word="goes on to say" class="pwa-mark pwa-mark-done">goes on to say</pwa> that this process would cause death for crops because of the drought.
One group of scholars, represented by the writer, thinks <pwa data-pwa-id="pwa-83B473C3D91F9143D43C77787333CAA9" data-pwa-rule-id="READABILITY_2834" data-pwa-category="style" data-pwa-hint="The word 'that' can often be omitted here" data-pwa-suggestions="(omit)" data-pwa-heavy="false" data-pwa-dictionary-word="that " class="pwa-mark pwa-mark-done">that </pwa>using the cloud seeding in Asian countries has shown successful results. <pwa data-pwa-id="pwa-DA295FBEA75B12011C2B26FC9D1FBE5D" data-pwa-rule-id="READABILITY_242" data-pwa-category="style" data-pwa-hint="Readability may be enhanced by using: Though" data-pwa-suggestions="Though" data-pwa-heavy="false" data-pwa-dictionary-word="Of course, though" class="pwa-mark pwa-mark-done">Of course, though</pwa>, not all experts in this field believe this is right. Again, the speaker specifically addresses this point when he says that in Asian counties, they have used the cloud seeding in cities that have a high level of air pollution. However, pollutants in the air are a favorable condition for cloud seeding.
Finally, the author wraps his argument by positing that a study from local areas has proved the effectiveness of the cloud seeding process. <pwa data-pwa-id="pwa-54263D2E9F2103601F76585DCD104D11" data-pwa-rule-id="READABILITY_446" data-pwa-category="style" data-pwa-hint="Readability may be enhanced by using: The" data-pwa-suggestions="The" data-pwa-heavy="false" data-pwa-dictionary-word="Not surprisingly, the" class="pwa-mark pwa-mark-done">Not surprisingly, the</pwa> lecturer takes this issue with his claim by contending that the reduction of hail damage resulted from a natural variation of the weather and not from the cloud seeding.
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Grammar and spelling errors:
Line 5, column 710, Rule ID: DID_BASEFORM[1]
Message: The verb 'could' requires the base form of the verb: 'seed'
Suggestion: seed
...ssor states that in the real-life could seeding process prevents any precipitation rain...
^^^^^^^
Transition Words or Phrases used:
finally, first, however, if, may, so, of course, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 13.0 10.4613686534 124% => OK
Auxiliary verbs: 9.0 5.04856512141 178% => OK
Conjunction : 4.0 7.30242825607 55% => More conjunction wanted.
Relative clauses : 12.0 12.0772626932 99% => OK
Pronoun: 24.0 22.412803532 107% => OK
Preposition: 54.0 30.3222958057 178% => OK
Nominalization: 9.0 5.01324503311 180% => OK
Performance on vocabulary words:
No of characters: 4195.0 1373.03311258 306% => Less number of characters wanted.
No of words: 425.0 270.72406181 157% => Less content wanted.
Chars per words: 9.87058823529 5.08290768461 194% => OK
Fourth root words length: 4.54043259262 4.04702891845 112% => OK
Word Length SD: 12.0020007559 2.5805825403 465% => Word_Length_SD is high.
Unique words: 215.0 145.348785872 148% => OK
Unique words percentage: 0.505882352941 0.540411800872 94% => More unique words wanted or less content wanted.
syllable_count: 1128.6 419.366225166 269% => syllable counts are too long.
avg_syllables_per_word: 2.7 1.55342163355 174% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 3.25607064018 123% => OK
Article: 9.0 8.23620309051 109% => OK
Subordination: 0.0 1.25165562914 0% => More adverbial clause wanted.
Conjunction: 0.0 1.51434878587 0% => OK
Preposition: 3.0 2.5761589404 116% => OK
Performance on sentences:
How many sentences: 15.0 13.0662251656 115% => OK
Sentence length: 28.0 21.2450331126 132% => The Avg. Sentence Length is relatively long.
Sentence length SD: 202.084734703 49.2860985944 410% => The lengths of sentences changed so frequently.
Chars per sentence: 279.666666667 110.228320801 254% => Less chars_per_sentence wanted.
Words per sentence: 28.3333333333 21.698381199 131% => OK
Discourse Markers: 3.73333333333 7.06452816374 53% => More transition words/phrases wanted.
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 1.0 4.19205298013 24% => OK
Sentences with positive sentiment : 5.0 4.33554083885 115% => OK
Sentences with negative sentiment : 5.0 4.45695364238 112% => OK
Sentences with neutral sentiment: 5.0 4.27373068433 117% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0212088093655 0.272083759551 8% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.03639952415 0.0996497079465 37% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0448880325953 0.0662205650399 68% => OK
Paragraph topic coherence: 0.0211493067594 0.162205337803 13% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0087885215793 0.0443174109184 20% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 39.2 13.3589403974 293% => Automated_readability_index is high.
flesch_reading_ease: -50.0 53.8541721854 -93% => Flesch_reading_ease is low.
smog_index: 15.9 5.55761589404 286% => Smog_index is high.
flesch_kincaid_grade: 27.2 11.0289183223 247% => Flesch kincaid grade is high.
coleman_liau_index: 40.26 12.2367328918 329% => Coleman_liau_index is high.
dale_chall_readability_score: 9.89 8.42419426049 117% => OK
difficult_words: 131.0 63.6247240618 206% => Less difficult words wanted.
linsear_write_formula: 16.5 10.7273730684 154% => OK
gunning_fog: 13.2 10.498013245 126% => OK
text_standard: 17.0 11.2008830022 152% => OK
What are above readability scores?
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Write the essay in 20 minutes.
It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 3.33333333333 out of 100
Scores by essay e-grader: 1.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.