The diagram below shows how the Australian Bureau of Meteorology collects up-to-the-minute information on the weather in order to produce reliable forecasts.Summarize the information by selecting and reporting the main features and make comparisons where relevant.
The given figure illustrates the process used by the Australian Bureau of Meteorology to forecast the weather.
In general, there are four main stages in the process, beginning with the collection of information about the weather. This information is then analysed, prepared for presentation, and finally broadcast to the public.
Looking at the diagram more closely, one can see that the Australian Bureau of Meteorology collects weather data from three distinct sources and also three Methods of analysis. Firstly, incoming information can be received through satellite and presented for analysis as a satellite photo. The same data can also be passed to a radar station and presented on a radar screen or synoptic chart. Secondly, incoming information Can be directly collected by radar and analysed on a radar screen or synoptic chart. Lastly, a drifting buoy also collects data which can be shown on a synoptic chart.
As soon as the information is analysed and the forecast is done, the weather broadcast is prepared on computers. Finally, it is Disseminated to the public Through television, radio, or recorded telephone announcements.
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2023-11-12 | Daniel3003 | 56 | view |
2023-11-12 | Daniel3003 | 56 | view |
2023-11-12 | Daniel3003 | 56 | view |
2023-11-12 | Daniel3003 | 78 | view |
2023-07-08 | roadtoapro | 61 | view |
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- The diagram below shows the amount of pork and chicken consumed in the US between 1960 and 2003 Summarize the information by selecting and reporting the main features and make comparisons where relevant 73
- The diagram below shows information on Canada s 12 largest aboriginal communities Summarise the information by selecting and reporting the main features and make comparisons where relevant 78
- The diagram below shows the amount of pork chicken and beef consumed in the US between 1960 and 2003 Summarize the information by selecting and reporting the main features and make comparisons where relevant 73
Transition Words or Phrases used:
also, finally, first, firstly, if, lastly, look, second, secondly, so, then, in general
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 7.0 143% => OK
Auxiliary verbs: 5.0 1.00243902439 499% => Less auxiliary verb wanted.
Conjunction : 9.0 6.8 132% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 22.0 33.7804878049 65% => OK
Nominalization: 8.0 3.97073170732 201% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 972.0 965.302439024 101% => OK
No of words: 180.0 196.424390244 92% => More content wanted.
Chars per words: 5.4 4.92477711251 110% => OK
Fourth root words length: 3.66284150148 3.73543355544 98% => OK
Word Length SD: 3.00370142029 2.65546596893 113% => OK
Unique words: 98.0 106.607317073 92% => More unique words wanted.
Unique words percentage: 0.544444444444 0.547539520022 99% => OK
syllable_count: 306.9 283.868780488 108% => OK
avg_syllables_per_word: 1.7 1.45097560976 117% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 18.0 22.4926829268 80% => The Avg. Sentence Length is relatively short.
Sentence length SD: 23.1948270095 43.030603864 54% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 97.2 112.824112599 86% => OK
Words per sentence: 18.0 22.9334400587 78% => OK
Discourse Markers: 8.7 5.23603664747 166% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 8.0 4.09268292683 195% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.204054967117 0.215688989381 95% => OK
Sentence topic coherence: 0.0875261483666 0.103423049105 85% => OK
Sentence topic coherence SD: 0.0662132093633 0.0843802449381 78% => OK
Paragraph topic coherence: 0.139652747205 0.15604864568 89% => OK
Paragraph topic coherence SD: 0.0368453191824 0.0819641961636 45% => 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: 13.0 13.2329268293 98% => OK
flesch_reading_ease: 44.75 61.2550243902 73% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.5 10.3012195122 112% => OK
coleman_liau_index: 13.74 11.4140731707 120% => OK
dale_chall_readability_score: 8.74 8.06136585366 108% => OK
difficult_words: 48.0 40.7170731707 118% => OK
linsear_write_formula: 9.0 11.4329268293 79% => OK
gunning_fog: 9.2 10.9970731707 84% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 Out of 9
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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.