I3RC Challenges



           I3RC has been faced with a number of challenges.  It is well underway in meeting these, but the process is not complete.  The challenges are:

  1.          Diversity of methods.   Participating methods that solve the exact  3D transfer equation include 3D discrete ordinates and spherical harmonic discrete ordinates  (SHDOM).    Many of the participating  methods are based on Monte Carlo.   These include several versions of  Monte Carlo - forward andbackward.    Most Monte Carlo codes share similar techniques, such as  maximal cross section, forefficiency.    Monte Carlo approaches solve the exact transfer  equation, and have relativelywell-understood errors, with each photon constituting an independent  Bernoulli trial.    Thus Monte Carlo is useful in evaluating errors in other methods.    3D methods  that begin by approximating thetransfer equation, such as diffusion and discrete angle methods, also  participate in I3RC, and canoften gain speed advantages over the exact methods, sometimes at the  expense of significantly largererrors.   So I3RC is well along in meeting the challenge of diversity.
  2.          Applicability.   For I3RC to benefit both remote sensing and  climate modeling, it is necessary forI3RC computations to include a wide variety of radiances, fluxes, and  heating rates.   Outputs quickly  multiply.   Even the restricted set of fields and outputs of Phase 1  led to a very large number ofcomparisons to examine, reflected in the multiplicity of plots posted  to the I3RC web.    For these tobe useful and accessible required a simple and flexible Web  interface, which will continue to be  improved, and will be important in fulfilling I3RC's educational objective.
  3.           Portability.   Many of the codes have now been ported to a common  Linux computer.    The open source  initiative within I3RC will require that all submitted code be tested  with the Portland Fortrancompiler available there.    Some routines will be selected for porting  to a multiprocessing environment.    Maintaining portability will be an important ongoing effort, without  which shared code would have  limited usefulness.
  4.           Scalability.    Input cloud fields for I3RC must have a spatial  resolution capable of re-solvingtypical photon mean-free-path on the order of 100 meters, in order to  represent 3D radiation effects,  yet cover a sufficiently large domain to fairly represent cloud  variability unresolved by global climate models, currently exceeding 25 kilometers horizontally.    These two goals are notsimultaneously achievable with current commonly available computing  resources.     The I3RC baselinecases handle this problem by choosing relatively small domains within  which 3D effects arewell-resolved, and assuming that plane-parallel biases in  domain-averaged quantities can bescaled up to the larger scales needed by models.    This relies on  empirical and cloud-resolvingmodeling studies of the scaling properties of clouds, that are still  ongoing.    Empirical cloudstudies themselves rely on 3D radiation codes.
  5.             Speed.    Cloud resolving models currently use plane-parallel  theory to compute radiative heatingrates within atmospheric columns that may be only tens of meters in  diameter, thus neglecting nethorizontal fluxes that are often a large as the net vertical fluxes  used to drive the models.    Domain-average horizontal fluxes are small, but they may still have  an effect on local convection,and may even produce large-scale drift.    To accurately simulate these  effects requires a 3D radiativecode capable of running fast enough to keep up with the rapid  dynamical development of convection.    That is indeed a challenging problem for 3D radiation, and emphasizes  the need for any 3Dapproximation that can gain a significant advantage in speed.

            The primary result of I3RC's first phase has been a demonstration of the high degree of accuracy that exact 3D radiation codes are able to achieve, as well as the excellent accuracy that even approximate methods can achieve for certain radiative quantities.  The many comparison plots available on this site document this accuracy, and the individual efforts that went into achieving it.



Original I3RC web site:
Ken Yetzer
Web site contact: Tamás Várnai
Project contact: Robert Cahalan
 
Return to Climate Home Climate and Radiation Branch Homepage NASA Homepage NASA Goddard Space Flight Center Homepage Lab for Atmospheres Homepage