June, 2017

Introduction

  • CO\(_2\) flux measures the CO\(_2\) consumption and production of plants.

  • Flux towers provide ground-based, direct and local observations of carbon exchange.

Global Flux Networks

MODIS

The moderate-resolution imaging spectroradiometer (MODIS) is a scientific instrument that was launched into Earth orbit by NASA on board the Terra satellite (1999) and the Aqua satellite (2002).

Our Study

Flux Site SK-Old Aspen

Old Aspen Flux Data

The latitude is 53.6289 and the longitude is -106.1978.

The CO\(_2\) flux unit used in this study is \(umol/m^2/s\).

Spline Smoothing

Functional data smoothing (Ramsay, 2006) was applied. We represented each year as a functional object using cubic splines: \(f(t_{ij})=\sum_{j}\beta_j\phi_j(t_{ij}).\)

Registration and Landmarks

Landmarks are a key quantity of data registration.

We constructed a time transformation \(h_i(t)\) for each curve such that the registered curves with values

\[ x^{*}(t) = x_i[h_i(t)] \]

have identical argument values for any given landmark.


This warping function, \(h_i(t)\), is the bridge that connects the real time and the registered time.

Registration

Advantage of Registration


Simulations in Registered Time Scale

In the regisgtered time scale, each year of data are represented by \(\sum\beta^{*}\phi(t)\). To obtain the simulations, we used multivariate normal distribution to simulate the \(\beta^*\).

Landmarks

Dirichlet Distribution

The Dirichlet distribution of order \(K\ge2\) with parameters \(a_1,\dots,a_k>0\) has a probability density function

\[ f(x_1,\dots,x_k;\alpha_1,\dots,\alpha_k) = \frac{1}{B(\alpha)}\prod_{i=1}^Kx_i^{\alpha_i-1}, \]

where \(x_i>0\) and \(\sum_{i=1}^kx_i=1\).

\[ E(X_i) = \frac{\alpha_i}{\sum_k \alpha_k} \]

Smooth CO2 Flux Measurement against Solar Day

Discrete time simulations


Selected References

  • FLUXNET (2014). Distribution of the global flux networks. Retrieved from: https://fluxnet.ornl.gov/introduction. Accessed: 2016-09-16.

  • NASA (2016). NASA’s earth observing system: Project science office. Retrieved from: http://eospso.nasa.gov/. Accessed: 2016-09-16.

  • Wood, S. (2006). Generalized additive models: an introduction with R. CRC press.

  • Ramsay, J. O. (2006). Functional data analysis. John Wiley & Sons, Inc..

Thank You