資料清冊說明

文

這裡是東華大學陸域生態研究室的資料清單網頁。這裡提供了一些了檔案連結供研究室成員及相關研究人員參考使用。

這個清單說明陸域生態研究室例行性資料的處理流程，包含了在各個樣區中以自動或半自動儀器所蒐集到的各項原始資料， 以及經過資料篩選、品管、合併與重製後二級資料的產製流程。這個清單主要是作為目錄的功能，方便研究室成員能比較快找到需要的資料。

例行性資料多半指的是定期需要更新數值資料，但實際在使用上則不受限於數值類型，凡用來檢測儀器是否運作正常的圖、表、文件亦包含本文收納的範圍內。各種類型的資料依照產製時程大致區分為Tier 0 至 Tier 3級，說明如下：

  • Tier 0 為最原始的數據，通常是由資料紀錄器依所設定的取樣頻率所獲取到的各項感應器資訊（像是 DNDF的CR1000x 的1分鐘原始數據檔）， 或是透過資料紀錄器整併的資料檔案（如Smartflux 30 分鐘通量檔）。
    • 0a. 資料記錄器原始檔，例如：DNDF的CR1000x 的1分鐘原始數據檔、CR1000 土壤10分鐘原始檔、移動性取樣的 LI-850 或 LI-7810IRGA濃度、能見度或WXT520、Sapflow P-box等。
    • 0b. 跨資料記錄器整併過的檔案，例如 DNDF Smartflux GHG通量原始檔、30分鐘摘要檔、日摘要檔等。
    • 0c. 其他單位取得的檔案，例如中央氣象局自動測站檔案。
  • Tier 1 通常是 Tier 0 資料在研究室中初步統計、重新計算或整併過後的檔案，像是將不同來源的資料整併為30分鐘檔案， 或是因為調整模型架構重新計算所產出的資料。
    • 1a 原始資料經過不同模型或參數設定，所重新計算所產出的檔案，像是通量資料用 EddyPro 改以standard 或 advanced mode重新計算的通量檔。另一種情況是針對某些儀器的數值，做事後的數值校正等。
    • 1b 原始資料經過統計計算所得到的特定參數值，像是 Sapflow P-box 資料換算出的 T0。
    • 1c 合併不同來源的資料，重新產製出的新檔案。產出的檔案時序與空間尺度，可能與原始檔不同。
  • Tier 2 資料經過品管、篩選、補遺所產製出的檔案。
    • 2a Eddy 經過繁複的填補過程產製出的檔案，如全年通量檔。
  • Tier 3(未決定)係指供發表或上傳至其他單位的資料表，資料可以是原始檔或是經過繁複產製的檔案。

EN

Welcome to LTER Lab’s archive page. In this page, we offer some useful file links for our labmates and co-op researchers.

This catalogue file shows how we deal the data and where to put the files. The data mentioned are the files, figures, documents, and data sheets we collected or generated from the field and prepared for future use. Type of data can be diverse, ether quantity or quality, numeric or descriptive. Format of data can also be very different, such as text(.csv) or spread sheets(.xls) . In this catalog, I focus more on numerical data.

In this catalogue, I define any data collected from the field directly are so called ‘raw data’ or ‘raws’. This raws are usually the first hand data from the sensors we’ve set. It is recorded in data logger and without any further changed or converted.

Raws can be converted and generate new data afterward. Like unit change, we change air temperature from Celsius (°C) to Kelvin scale (K). Raws can also be summarized to other values, for example, we sum up 1 minute precipitation (rainfull) from rain gage to half-hour (30 mins) data. Generally, raws changing is taken afterward in the lab, instead of in the field, and it creates another new data tables, files, even figures.

Due to the diverse sources and uses of data, we have to clarify data we have in very beginning. In this aspect, I categorized data into 4 different tiers(0-4) based on how we handle with it.

  • Tier 0 are the raws, the untouched data recorded in data logger. Typically data loggers keep the original signal data from the sensors. In some cases, i.e., Smartflux, it not only store sensors data, but also collect data from other loggers.

    • 0a. Untouched data from logger. For example, DNDF 1 min Biomet form CR1000x, DNDF 10 mins Soil data from CR1000, data of home-made sap flow sensors, and soil respiration data from portable instruments(LI-850, LI-7810).

    • 0b. Raws combined across different loggers. Like Smartflux, it collected data from other loggers and calculate the results to 1 min, 30mins and daily summaries files.

    • 0c. Data are measured from other institute/site/company instead of ourselves. Weather data from Center Weather Bureau(CWB) website is the case.

  • Tier 1 data are summaries, averaged or recalculated from Tier 0. In tier 1, data could be came from :

    • 1a. Re-calculated raws of different models or mode. For example, we use a software called ‘EddyPro’ to recalculate flux data by different mode. The output data gives us more detail about the flux measurements.
    • 1b. Re-calculated raws of new parameters. For examples, we calculated sapflow velocity from the raws of home-made Pbox.
    • 1c. Combined different raws. For mergeing data to longer time series or larger spatial scales.

  • Tier 2 data are the data which pass the quality control(QC), quality assurance(QA) and also gap-filled.

    • 2a. Data is gap filled, QA/QCs. The Annual Eddy Flux of a forest is an example.

  • Tier 3 (undetermined)

DNDF 樣區

樣區描述(Site Desc.)

文

DNDF(DaNo-DaFu)大農大富通量站自2016年底開始運作，設有碳水通量、微氣象（大氣及土壤）以及樹液流觀測系統，雖然期間經過多次儀器調整與更新，但變更的幅度並不大。近期因應樣區內林木快速的增高，我們在2023年初做了一次比較大的更新，除了將鐵塔增高至25 m之外，安裝的儀器也往上移動，並且改變了Eddy系統在塔頂擺設的方式，各項儀器所在的高度請參考這裡。

DNDF目前有 Eddy Smartflux (eddy), CR1000x (biomet) 與 CR1000 (soil)三個系統，每一個系統的記錄器都會產出 Tier0 的資料表詳請參閱下表。DNDF沒有安裝雨量桶，所以我們額外蒐集了中央氣象局的鄰近測站(CWB富源)的雨量資料作為參考。同時因為考慮了計算年通量時，需要用到日輻射來作資料補遺的根據，我們還另外蒐集了花蓮(CWB花蓮)氣象站的輻射資料。

DNDF與LHSL兩個樣區設置有樹液流觀測系統，針對樣區內八種共同樹種各設置了10套自製樹液流系統，及1套土壤溫濕度系統，原始資料請參閱表中 Sapflow P_&Q_box。

為配合LTSER的觀測計畫，我們預計在 DNDF 選定幾個重要樹種，每個樹種找三個林份，每個林份下設置3個位置固定、大小為 10x10 m樣方(n=9 /tree specice)，每三年測量一次 DBH、樹高，並取回土壤樣本做碳存量調查。另外在這些固定樣方中，以每年（或季）的頻度以拍攝魚眼照片或LI-2200儀器進行葉面積指數的估算。

EN

DNDF(DaNo-DaFu) site is established since end of 2016. We set up series instruments for monitoring C- and H2O- flux, microclimate parameters of ecosystem. In beginning of year 2023, we’ve extended the flux tower from 18 m to 25 m height. This upgrade is to match the fast growth of trees in plantation of study area. All instruments were moved up according to the extension. The setup of instruments are list here.

There are 3 datalogger systems in DNDF, including Eddy Smartflux(eddy), Biomet(CR1000x) and Soil(CR1000). There is no rain gauge nor radiation backup sensors in DNDF, so we collect data from CWB site nearby as spare. You can find all raws files in following table.

資料目錄 (Data Table)

Eddy & Biomet

Tier0 Tier1 Tier2
Biomet 1 m (CR1000x, .dat) Eddy_results(adv) 通量資料進階處理 (Gap-filled flux data by PyFluxPro)
Soil, 10 m (CR1000, .dat) Eddy_biomet(adv)
Soil, 1 hr (CR1000, .dat) Eddy_biomet(adv) + Soil Daily_NEE_ET
Soil, 1 d (CR1000, .dat)
Eddy_raw, 30 m (Smartflux, .GHG)
Eddy_results, 30 m (Smartflux, .zip)\(^{a}\)
Eddy_summaries, 1 d (Smartflux, .csv)\(^{a}\)

aEddy_results & Eddy_summaries 是現場 smartflux 計算出來的通量結果，僅能作為通量檢測的參考，如果需要使用完整的資料，請使用Tier1 Eddy_raw或Eddy_results(adv)。Eddy_results & Eddy_summaries in Tier 0 is the data from Smarflux on-site, and it can only be used as checks for instruments. For complete eddy flux data, use Eddy_raw and Eddy_results(adv) in Tier 1 instead.

Others

Tier0 Tier1 Tier2
Sapflow, 10 Hz (P_box, dat) Sapflow_T0, 30 m (Nacho’s T0, .txt)
Tsoil & SWC, 10 m (Q_box, dat)
(Tentative)
Biomass
Canopy LAI

檢測圖 (Figures)

較長時序變化

fluxes
Time series of CO2 and H2O fluxes. Color shows the data quality (red for best/blue for suitable). Dot shape shows the time (● for night/▲ for day).
Time series of CO2 and H2O fluxes. Color shows the data quality (red for best/blue for suitable). Dot shape shows the time (● for night/▲ for day).
Radiation
Figures are Short Wave(SW) and Long Wave (LW) by IN-and-OUT Radiation. Units for radiations are Wm-2. Unit for NRO1TC is °C.
Figures are Short Wave(SW) and Long Wave (LW) by IN-and-OUT Radiation. Units for radiations are Wm-2. Unit for NRO1TC is °C.
Time serires of Global Radiation (RG), Net Radiation (RN) and Albedo (ALB). Units are in Wm-2.
Time serires of Global Radiation (RG), Net Radiation (RN) and Albedo (ALB). Units are in Wm-2.
Wind
Windrose
Windrose
Soil
Time series for Soil Temperature(ST1-2), Soil Water Content (SWC1-4) and Soil Heat Flux(SFH1-2)
Time series for Soil Temperature(ST1-2), Soil Water Content (SWC1-4) and Soil Heat Flux(SFH1-2)

近日變動

fluxes
Latest processed Fluxes
Latest processed Fluxes
Radiation
Radiation data plotted from 1 min Biomet.
Radiation data plotted from 1 min Biomet.
Temperature, Relative Humidity and Pressure
TA/RH/P data plotted from 1 min Biomet.
TA/RH/P data plotted from 1 min Biomet.
Soil
Soil sensors plotted data from 1 min Biomet.
Soil sensors plotted data from 1 min Biomet.

FLSF 樣區

樣區描述(Site Desc.)

文

FLSF(FengLin-SengFeng)光電廠站於2023年初設置，安裝了通量（碳、水、甲烷）及微氣象系統，主要的記錄器為 Eddy Smartflux (eddy)＋CR1000x (biomet 含土壤部)，監測參數包含各項通量及溫濕度、輻射及土壤溫濕度等。鄰近樣區有中央氣象局西林自動站(CWB C0T00 西林)，我們也一併蒐集其網站上的資料作為參考。

我們以移動式 LI-7810 + smart chamber 在光電廠區內及鄰近森林，設定固定的樣點進行每月一次的土壤呼吸監測。

En

FLSF(FengLin-SengFeng) site is established since 2023. We set up series instruments for monitoring CO2, CH4 and H2O flux, and also micro-climate parameters. FLSF is located in a solar power farm. Compare to abundancy studies from forests, the pattern of energy budget in solar farm is still lacking and need to further explore.

We set up two dataloggers in FLSF, Smartflux for eddy and CR3000 Biomet for micro-climate. Basic parameters such temperature, relative humidity and solar radiation are monitored. Parameters which under the soil are investigated too. Two set of sensors are buried in situ. One is under solar panel and another one is under the corridor, which is expose to the sunshine. Precipitation is monitored by the rain gauge set in exposed area.

In this archive, we also include the soil respiration data from point sampling inside the field and adjoined forest. And for the reference, data collected from CWB are also shown.

The setup of instruments are list here.

資料目錄 (Data Table)

Tier0 Tier1 Tier2
Biomet, 1 m (CR1000x, .dat) Eddy_results(adv) 通量資料進階處理 (Gap-filled flux data by PyFluxPro)
Eddy_raw, 30 m (Smartflux, .GHG) Eddy_biomet(adv)
Eddy_results, 30 m (Smartflux, .zip) Biomet(merged)

<tentative>

Daily_NEE_ET
Eddy_summaries, 1 d (Smartflux, .csv)\(^{a}\) SoilResp (smartChamber)
LI-7801+SmartChamber, (.json)

aEddy_results & Eddy_summaries 是現場 smartflux 計算出來的通量結果，僅能作為通量檢測的參考，如果需要使用完整的資料，請使用Tier1 Eddy_raw或Eddy_results(adv)。Eddy_results & Eddy_summaries in Tier 0 is the data from Smarflux on-site, and it can only be used as checks for instruments. For complete eddy flux data, use Eddy_raw and Eddy_results(adv) in Tier 1 instead.

檢測圖 (Figures)

較長時序變化 (Time Series)

fluxes
Time series of CO2(umol/m2/s), CH4(umol/m2/s) and H2O(mmol/m2/s) fluxes. Color shows the data quality (red for best/blue for suitable). Dot shape shows the time (● for night/▲ for day).
Time series of CO2(umol/m2/s), CH4(umol/m2/s) and H2O(mmol/m2/s) fluxes. Color shows the data quality (red for best/blue for suitable). Dot shape shows the time (● for night/▲ for day).
Radiation
Figures are Short Wave(SW) and Long Wave (LW) by IN-and-OUT Radiation. Units for radiations are Wm-2. Unit for NRO1TC is °C.
Figures are Short Wave(SW) and Long Wave (LW) by IN-and-OUT Radiation. Units for radiations are Wm-2. Unit for NRO1TC is °C.
Time series of Global Radiation (RG), Net Radiation (RN) and Albedo (ALB). Units are in Wm-2.
Time series of Global Radiation (RG), Net Radiation (RN) and Albedo (ALB). Units are in Wm-2.
Temperature, Relative Humidity and Pressure
Time series of air temperature(TA,°C), Relative Humidity(RH, %), and air Presssure(PA, Pa).
Time series of air temperature(TA,°C), Relative Humidity(RH, %), and air Presssure(PA, Pa).
Wind
Windrose
Windrose
Soil
Time series for Soil Temperature(ST1-2), Soil Water Content (SWC1-4) and Soil Heat Flux(SFH1-2)
Time series for Soil Temperature(ST1-2), Soil Water Content (SWC1-4) and Soil Heat Flux(SFH1-2)
Rainfall
rain
rain

近日變動 (Recently Changes)

fluxes
Latest processed Fluxes
Latest processed Fluxes
Radiation
Radiation data from 1 min Biomet.
Radiation data from 1 min Biomet.
Temperature, Relative Humidity and Pressure
TA/RH/P data from 1 min Biomet.
TA/RH/P data from 1 min Biomet.
Soil
Soil sensors data from 1 min Biomet.
Soil sensors data from 1 min Biomet.
Rainfull
Rainfall data from 1 min Biomet.
Rainfall data from 1 min Biomet.

LHSL 樣區

樣區描述(Site Desc.)

LHSL(LinHou-SiLin)於2021-2023年間設置有樹液流的觀測系統，針對八個造林樹種分別設置10套的自製樹液流盒及1套土壤溫濕度盒。

資料目錄 (Data Table)

Tier0 Tier1
Sapflow, 10 Hz (P_box, dat) Sapflow_T0, 30 m (Nacho’s T0, .txt)
Tsoil & SWC, 10 m (Q_box, dat)

通量資料進階處理

資料補遺與處理

文

測站獲取的通量資料(tier0)經過 EddyPro 重新計算及整併成30分鐘(tier1)後，要繼續進行 PyFluxPro 資料補遺及計算，才能累計為逐年資料(tier3 or tier4)。

為了能夠執行 PyFluxPro，需要先將30分鐘(tier1)的 Fullreport與Biomet整理成逐年分檔，並且有對應的控制檔(control files)。

關於PyFluxPro相關的資訊請參考 PyFluxPro GitHub網站 ，與相關範例檔及 wiki說明檔。

EN

There are some gaps in flux data arising from weather conditions or instrument issues. We employ various gap-filling techniques to effectively smooth the data. PyFluxPro is one of the software tools we utilize for this purpose. Flux data adn control files are prepared for PyFluxPro in following table.

資料目錄 (Data Table)

DNDF
1.Eddy_results(adv) 3.Data_for_PyFluxPro

PyFluxPro’s L6 file (NC) in R(.rds) format

DNDF_L6.rds
2.Eddy_biomet(adv) + Soil 4.PyFluxPro_Control_Files

PyFluxPro’s L6 file (NC) in MS-Excel(.xlsx) format

DNDF_L6.xlsx

xls to R:

(3+4) Flux+Biomet_2023
FLSF
1.Eddy_results(adv) 3.Data_for_PyFluxPro

PyFluxPro’s L6 file (NC) in R(.rds) format

FLSF_L6.rds
2.Biomet(merged) 4.PyFluxPro_Control_Files

PyFluxPro’s L6 file (NC) in MS-Excel(.xlsx) format

FLSF_L6.xlsx

xls to R:

(3+4) Flux+Biomet_2023

長/短期氣象資料 (Climate Data)

長期氣象資料 (Long-term Climate)

長期氣象資料預計使用於 BBGC 及其他模型。

花蓮氣象站的長期氣象資料，在輻射量有比較多的闕漏，因此資料處理上我們先用宜蘭測站的資料來建立兩站數值關係，再填補花蓮站的闕漏。至於1986年未有觀測的年份，我們用MT-Clim來推估。相關的內容請參閱2023/05國科會期中報告書，資料請於下表Tier1中下載。

Tier0 Tier1
CWB 花蓮466990 (CWB website data) Hualien Longterm Climate Data for BBGC 花蓮長期氣象資料 (MET.ini)
CWB 宜蘭467080 (CWB website data)

短期測站資料 (Shor-term neighborhood station)

我們整理了短期通量站鄰近的氣象站資料，以供參考比對，請前往中央氣象署 (https://codis.cwa.gov.tw)取得最新的資料。

鄰近 DNDF 的氣象署測站
CWA 花蓮_466990
CWA 光復_C0T960
CWA 富源_C0Z080
CWA 大農_C1T970
CWA 花蓮農改場_725T250
鄰近 FLSF 的氣象署測站
CWA C0T900_西林
CWA C0Z160_鳳林
CWA C1T920_中興