Displaying 1 - 20 of 36 articles
著者: Aspen Nielsen | 最終更新日: 06/30/2025 | コメント: 0
AtmosVue™30, のような気象センサーの仕様書を見ると、多くの数字や専門用語が記載されているのが一般的です。例えば、以下のような内容です: 現在の天気出力 背景輝度測定範 動作温度範囲 しかし、これは実際何を意味するのでしょうか? このブログ記事では、AtmosVue 30 の主な仕様を分析し、その内容を簡単な言葉で説明します 背景 はじめに、AtmosVue 30は3つの独立したセンサー: CS125 現在天気・視程センサ, CS140 背景輝度センサ, and the HygroVue™5 デジタル温湿度センサ で構成されていることをご留意ください。この記事ではAtmosVue 30のスペックシートに関する情報を共有しますが、AtmosVue 30を構成するセンサーのいずれかについて同様の情報をご希望の場合は、下記にコメントをお寄せください。 AtmosVue 30の主な仕様 報告される最大可視性 AtmosVue 30 の場合、報告される最大視程は 100 km (62.1 マイル) です。 報告される最大視程は、現在の気象条件下で、空港にいる人(パイロット、航空管制官、またはその他の航空利用者)が地上 2 メートル(6.6 フィート)の高さで水平にどれだけ遠くまで見通せるかを示します。 背景輝度測定範囲 AtmosVue 30 の場合、背景輝度の測定範囲は 0 ~ 45,000 cd/m 2です。 背景の輝度は、滑走路の照明と背景の空周辺光レベルとのコントラストの強さを理解するのに役立ちます。これは、パイロットが飛行場に着陸するときにどれだけ遠くまで見通せるかを決定する重要な測定値です。 背景の周囲光レベルは、国際照明委員会(CIE)の分光感度を用いて、人間の目で見るのと同じ波長で測定されます。言い換えれば、人間が私たち人間と同じ波長の光を「見ている」ということです。 背景輝度を用いることで、あらゆる光条件、特に低照度または低コントラスト条件における視程計算方法をどのように調整する必要があるかを判断できます。カンデラ/平方メートル(cd/m 2)で測定される背景輝度を、より大規模な計算における他の測定値と組み合わせることで、航空機の視程を決定するのに役立ちます。 現在天気出力 AtmosVue 30 の場合、1 つの出力で 57 個の SYNOP 現在の気象コードと、関連する気象飛行場レポート (METAR) および国立気象局 (NWS) の現在の気象コード、および過去の気象コードが提供されます。 世界気象機関(WMO)は、気象情報を複数の言語に翻訳することなく国際的に伝達するための標準化された手法を開発しました。この通信システムでは、SYNOPと呼ばれる数値コードが一部使用されています。SYNOPコードは一定の頻度(通常は3時間または6時間ごと)で送信され、その地点における現在の重要な気象現象をすべて記述できます。例えば:... 続きを読む著者: Ajay Singh | 最終更新日: 01/15/2024 | コメント: 0
Campbell Scientific’s CS223 Pt-1000 Class A, Back-of-Module Temperature Sensor (discontinued effective 31 October 2023) has been replaced by the CS241 Pt-1000 Class A, Back-of-Module Temperature Sensor. When needed, you can replace the CS223 sensor head with a CS241 head without having to replace the entire... 続きを読む著者: Ben Todt | 最終更新日: 12/04/2023 | コメント: 0
Should you be concerned about the impact of soiling or fouling on your photovoltaic (PV) power plant performance? Did you know that in a recent estimate, more than US$6 billion of annual revenue is lost because of diminished power generation at PV facilities due to... 続きを読む著者: Jacqalyn Maughan | 最終更新日: 08/22/2023 | コメント: 3
Understanding the benefits of VSPECT® will help ensure you are maximizing your benefits when using this technology. In this article, we’ll explore this topic to provide you with a better measurement experience. Why do Campbell Scientific monitoring platforms give me extra vibrating wire data? Have you ever... 続きを読む著者: Jacqalyn Maughan | 最終更新日: 04/06/2023 | コメント: 0
Have you ever thought your bad vibrating wire sensor measurements were caused by erratic or erroneous data? You may be surprised to learn that data issues may not be the cause. If you are using a data-acquisition system other than one of the Campbell Scientific... 続きを読む著者: Nathanael Wright | 最終更新日: 03/28/2023 | コメント: 0
Campbell Scientific vibrating wire measurement hardware, with our patented VSPECT® technology, offers a distinct advantage over all other vibrating wire measurement systems. Unlike non-Campbell Scientific vibrating wire interfaces that use pulse counting to derive vibrating wire frequency, Campbell Scientific's VSPECT vibrating wire measurement products use spectral... 続きを読む著者: Dirk Baker | 最終更新日: 07/29/2022 | コメント: 9
About a year ago (May 2021), I installed a weather station next to the National Weather Service’s (NWS) official station at Furnace Creek in Death Valley National Park (California, USA). To familiarize yourself with this project, read my previous article. The purposes of this installation... 続きを読む著者: Jacob Davis | 最終更新日: 06/13/2022 | コメント: 0
As you may know, it can be quite challenging to perfectly align the north mark of a wind direction sensor with true north. For example, when you’re on a ladder handling tools or hanging on a tower, you don’t have a spare hand to hold... 続きを読む著者: Libbie Anderson | 最終更新日: 05/05/2022 | コメント: 0
At Campbell Scientific, we redesigned our back-of-module temperature sensors and launched the CS241 and CS241DM purpose-built sensors to optimize performance on bifacial photovoltaic (PV) modules and help you collect data as precisely as possible. These newer sensors have some similarities to our previous sensor models, but... 続きを読む著者: Dirk Baker | 最終更新日: 06/21/2021 | コメント: 6
In this article, I'll share my experience collaborating on a research project to record some extreme weather conditions that may even set a world record! On August 16, 2020, the weather station located at Furnace Creek in Death Valley National Park (California, USA) recorded a temperature... 続きを読む著者: Dirk Baker | 最終更新日: 03/05/2021 | コメント: 0
In this article, I’ll explain how errors can occur when measuring the precipitation amount, discuss a correction approach, and demonstrate how an algorithm can be used to design high-quality tipping bucket rain gauges. Introduction Liquid precipitation (rain) is at once one of the simplest measurements mechanically and... 続きを読む著者: Ajay Singh | 最終更新日: 10/13/2020 | コメント: 0
When we are faced with challenges, there is often an opportunity for improvement. In this blog article, learn how our engineers redesigned our back-of-module (BOM) temperature sensor to resolve specific challenges that impacted the quality of bifacial solar photovoltaic (PV) panel performance monitoring. Bifacial PV panels... 続きを読む著者: Mike Nelson | 最終更新日: 09/08/2020 | コメント: 0
There are times during major weather events when we may hear the news reporter indicate the local river is expected to crest in the next 12 hours at an estimated stage level. What is a crest and a stage level, and how do they affect me? Basically,... 続きを読む著者: Dirk Baker | 最終更新日: 01/30/2020 | コメント: 2
Have you ever been told not to average relative humidity (RH)? Have you ever created a data logger program with Short Cut and noticed that it does not allow you to average RH when you generate your data table? Do you know why? In this blog... 続きを読む著者: Andrew Sandford | 最終更新日: 01/06/2020 | コメント: 0
Imagine that you already have a winning sensor that has sold more than 15,000 units. As time passes, you realize that technology has evolved, but your sensor hasn’t. If you are objective in your product evaluation, you may determine that there is justification for the... 続きを読む著者: Robin Deissinger | 最終更新日: 11/19/2019 | コメント: 0
Are you ready to get heated? In this interview, Hayden Mahan, Product Manager of the Gas Flux and Turbulence Group, shares his excitement about our heated sonic anemometer (the new CSAT3BH) and why heat matters. Hayden was interviewed by Robin Deissinger, the blog editor. Interview... 続きを読む著者: Robin Deissinger | 最終更新日: 06/24/2019 | コメント: 0
Patented technology enables a new sensor to measure soil CO2 flux directly, providing you with new flexibility to make your measurements. In this interview, Hayden Mahan, Gas Flux and Turbulence Product Manager, introduces us to the eosFD and explains how this sensor works. Hayden was... 続きを読む著者: Dirk Baker | 最終更新日: 04/17/2019 | コメント: 0
Advances in technology and mechanical design offer vast improvements for those of you who need soil measurements at multiple depths—especially environmental researchers and anyone who works with environmental monitoring networks. In this article, we’ll take a closer look at the measurement challenges you may face... 続きを読む著者: Jason Ritter | 最終更新日: 02/27/2019 | コメント: 4
Have you ever wanted Short Cut to support more sensors? Although Short Cut supports many sensors, you may have found that the sensor you want to measure is not on the list. What do you do then? How do you add that sensor to your... 続きを読む著者: Matt Perry | 最終更新日: 12/12/2018 | コメント: 1
Plane of array irradiance (POA) is a well-known term used to quantify the incident irradiance on a given solar array. It is the parameter most directly related to the power output of a PV module and is used extensively in PV performance analysis and modeling... 続きを読む