« Last post by haroldashe on Today at 03:52:34 AM »
GPBARTH, if cone up with a good weather cam, let us know. I'm looking for one, too.
When I select Ambient Weather Network it pre populates a MAC address (router's) and doesn't let me edit it, how do I change it to the correct address?The "MAC Address" shown is, or at least should be, the "MAC Address" of your Meteobridge itself.
Also how do I remove a weather network?
Standard thermometry is appropriate for urban observations but radiation shielding
and ventilation is even more necessary. In the UCL a sensor may be close to warm or
highly reflective surfaces (sunlit wall, road, glass or hot vehicle). Hence shields must
block radiation effectively. Similarly, the lower UCL may be so sheltered that forced
ventilation of the sensor is essential.
METEOROLOGICAL MEASUREMENTS IN URBAN AREAS 7
In accord with the above the surface should be typical of the UCZ and the
thermometer screen/shield centred in a space with approximately average zH/W. In very
densely built-up UCZ this might mean it is located only 5 to 10 m from buildings. If the
site is a street canyon, zH/W only applies to the cross-section normal to the axis of the
street. The recommended open-country screen height of 1.25 to 2 m above ground level
acceptable for urban sites but on occasion it may be better to relax this requirement to
allow greater heights. Observations in canyons show slight air temperature gradients in
the UCL (Nakamura and Oke, 1988), so as long as the sensor is >1 m from a wall error
should be small, especially in densely built-up areas. Measurements at heights of 3 or 5 m
are little different from those at the standard height. They even benefit by having larger
source areas, the sensor is beyond the easy reach of vandals or the path of vehicles, and
exhaust heat from vehicles is diluted.
Too often roofs are sites for meteorological observations. This may arise in the
mistaken belief that at this elevation sensors are free from microclimates, such as those in
the UCL. In fact roof tops have strongly anomalous microclimates. To be good insulators
roofs are constructed of materials that are thermally extreme. In light winds and cloudless
skies they become very hot by day, and cold by night, with sharp temperature gradients
near the roof. Roofs design also ensures they are waterproof and shed water rapidly. This
together with their openness to solar radiation and wind makes them anomalously dry.
Roofs are also commonly affected by release of heat from roof exhaust vents.
Air temperatures above roof-level using towers, are influenced UCL and roof effects.
Whilst there is little variation of temperature with height in the UCL, there is a
discontinuity near roof-level both horizontally and vertically. Hence if meaningful spatial
averages are sought sensors should be well above mean roof-level so that adequate
blending is accomplished (>1.5zH if possible). Currently there are no methods to
extrapolate air temperature data from above the RSL down into the UCL. Similarly, apart
from statistical methods that require a large set of training data from a dense station
network there is no scheme to extrapolate air temperatures horizontally inside the UCL.
On one hand Jason you want highiy accurate and up-to-date wind readings yet you want to by an all-in-one station, which as I said previously is never ideal, because unless you live in a totally opened unobstructed area (like airport, no buildings or trees around in any direction), your wind will be very biased.
Wind should ideally be measured at 10m height, temperature at 2m. So either one or the other will be inaccurate.
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cool template, Im now reviewing this and try to embed, best to use this as additives for 7-8 day forecast, at least more than WU viewers can both view forecast in between so I could tab this as Yr.No forecast and WU forecast for both available on my site for good. Thanks again for this, currently studying its scripts then trials and errors then publish in the end.
Question: "is there a way to send my clientraw to that site to appear directly from yr.No? then I will use the ID number that produced there and to create forecast that the data comes from my weather station? since yr.No recieves weather data from different weather stations, I guess and hope I could sent my data there like WU, my WD sending clientraw to WU and I use its 7 day forecast produced from my data at WU?"
At your site http://pimohweather.webutu.com/ you are using the Saratoga-Template.
There are others, such as mine (Leuven) or Jáchym's (Meteotemplate).
But for this post: => Saratoga.
At your current template you should add scripts for yr.no or other forecasts which are compatible with your Saratoga-Template.
There are hundreds of them, for yr.no forecasts at least three totally different ones.
I would prefer mine, but to be honest, mine is dull, this one has a more sophisticated interface : https://www.nordicweather.net/phpscripts.php?en
All those forecast scripts can often run stand-alone (=without a template environment), which makes installing and testing easier. After you are satisfied with the stand-alone results, you should then integrate them with your Saratoga-Template.
Forecasts from WU, Yr.no HWA, EWN, NWS and ALL others are not based on your private stations data.
That is impossible as the forecast engine needs tons of data and very large computer installations.
They all use all data available and all of them use each other forecasts models to check and compare.
So there is no use, even no possibillity of sending your data to Yr.no or NWS or other large forecast providers.
WU, EWN and some others use your data to fine-tune their forecasts and to learn how their forecasts differ from the measurements later-on.
All major forecast use a grid of x miles by x miles for making a forecast. They are not making a forecast for every house on the earth but for every so many square miles. The forecasts differ not that much in most cases, generally speaking.
Their is one exception WXSIM: that extra PC-program takes a standard forecast and then uses your past data to modify, fine tune the forecast for your private small area.
Current data on your website
Your clientraw and other data is displayed as current data and historical data.
Forecasts on your website
Your forecasts come from providers which look into the future and give their predictions. Could be any provider which you want.
As Jáchym said, their is a lot of reading to do in this interesting weather-scripting area.