Incorrect temperature data?
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Hello, I pay for the Point Forecast API, we use the data to improve our agricultural production, so the values need to be correct and as accurate as possible, but I noticed a very large inconsistency in the temperature of the city of São Paulo, lat: 23.5489 lon: 46.6388.
When searching the API with these parameters:
{
"lat": 23.5489,
"lon": 46.6388,
"model": "gfs",
"parameters": ["temp", "cape", "ptype", "dewpoint"],
"levels": ["surface", "1000h"],
"key": "secret key"
}the ts value: [
1744880400000,
1744891200000,
1744902000000,
1744912800000,
1744923600000,
1744934400000,
1744945200000,
1744956000000,
1744966800000,
1744977600000,
1744988400000,
1744999200000,
1745010000000,
1745020800000,
1745031600000,
1745042400000,
1745053200000,
1745064000000,
1745074800000,
1745085600000,
1745096400000,
1745107200000,
1745118000000,
1745128800000,
1745139600000,
1745150400000,
1745161200000,
1745172000000,
1745182800000,
1745193600000,
1745204400000,
1745215200000,
1745226000000,
1745236800000,
1745247600000,
1745258400000,
1745269200000,
1745280000000,
1745290800000,
1745301600000,
1745312400000,
1745323200000,
1745334000000,
1745344800000,
1745355600000,
1745366400000,
1745377200000,
1745388000000,
1745398800000,
1745409600000,
1745420400000,
1745431200000,
1745442000000,
1745452800000,
1745463600000,
1745474400000,
1745485200000,
1745496000000,
1745506800000,
1745517600000,
1745528400000,
1745539200000,
1745550000000,
1745560800000,
1745571600000,
1745582400000,
1745593200000,
1745604000000,
1745614800000,
1745625600000,
1745636400000,
1745647200000,
1745658000000,
1745668800000,
1745679600000,
1745690400000,
1745701200000,
1745712000000,
1745722800000,
1745733600000
],
the temp-surface value: [
299.76771779434154,
303.0753916178455,
302.03165707353776,
298.84618915369936,
295.5777375211752,
293.56991440206457,
291.3074733986962,
295.49562903892354,
301.06644108326043,
304.30960003967994,
303.04159882243994,
299.6753438975066,
296.9356797913315,
295.476492644686,
293.9709182850323,
297.86143624000283,
303.14484634483773,
305.55893956393487,
303.9866103406619,
300.81111114712394,
298.82319581178615,
297.7903348930412,
296.60571791766876,
300.0633825025181,
305.3395830820822,
307.21686335678174,
305.47318181580533,
301.91875234753644,
299.94058322228693,
298.76550477520493,
298.0083562776216,
303.31516025355154,
307.4132858343778,
308.9236665442121,
307.4892677035906,
304.2441209356766,
302.486406038926,
301.0333455053194,
299.4301903694685,
304.9686782253996,
309.8906626641859,
310.9350795915439,
308.57757966238177,
306.05814726849354,
303.2670670829174,
301.216357672535,
300.4134746761655,
305.51508903574415,
308.9383971174508,
310.4486146487295,
307.8471776134886,
304.39388918080977,
301.5093966894093,
299.3244506654957,
298.44687639394334,
305.1767160492654,
309.58557810303205,
310.77706341215014,
308.49517449184737,
304.61606420134876,
302.3515463800011,
301.1495583056734,
300.7994512976118,
307.79331385575483,
311.5091714186692,
312.19321592338247,
309.3365379584899,
306.4341996668818,
303.8719699882065,
302.1676886511796,
300.1197977794833,
307.85331906094166,
312.1994018740778,
312.6382186786822,
309.7972800271897,
306.0609658071796,
303.624398450664,
297.93120248969194,
296.1543808675321,
301.1710237029306
]Searching for the current time that I am sending this message 12:00 UTC-3 15:00 (UTC) we would have the 3rd position of the array index 2 (1744902000000) and the equivalent value in the temp-surface would be (302.03165707353776) K
Since I am in Brazil, I need to convert to Celsius, which would give me an approximate value of 28.881657073538 °C. But when comparing this temperature with what is shown on your official map, the value is not the same. You present the temperature as 25 °C, which is a considerably different value from what is presented in the API.
I would like to know why this difference exists, if it is supposed to be like this, and if so, a prediction of when this could be resolved.
